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Ferry Services in Europe

Published in 1999 this work is mainly related to ferry services and operations in a number of marketplaces in Europe. Ferry services in the the Atlantic Arc to the West the Baltic Sea to the North and the Eastern Mediterranean to the Southeast of Europe are reviewed. Ferry markets in the Baltic area and the Mediterranean have been crucial markets in particular becaus of their continuing development - mostly after the post-communism changes in the East European countries and the civil war in the former Yugoslavia. Developments in the Atlantic Arc and the effects of the Channel Tunnel on the ferry market in that area are also explained and conclusions and comment offered. | Ferry Services in Europe

GBP 31.99

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Signal Processing in Radar Systems

An essential task in radar systems is to find an appropriate solution to the problems related to robust signal processing and the definition of signal parameters. Signal Processing in Radar Systems addresses robust signal processing problems in complex radar systems and digital signal processing subsystems. It also tackles the important issue of defining signal parameters. The book presents problems related to traditional methods of synthesis and analysis of the main digital signal processing operations. It also examines problems related to modern methods of robust signal processing in noise with a focus on the generalized approach to signal processing in noise under coherent filtering. In addition the book puts forth a new problem statement and new methods to solve problems of adaptation and control by functioning processes. Taking a systems approach to designing complex radar systems it offers readers guidance in solving optimization problems. Organized into three parts the book first discusses the main design principles of the modern robust digital signal processing algorithms used in complex radar systems. The second part covers the main principles of computer system design for these algorithms and provides real-world examples of systems. The third part deals with experimental measurements of the main statistical parameters of stochastic processes. It also defines their estimations for robust signal processing in complex radar systems. Written by an internationally recognized professor and expert in signal processing this book summarizes investigations carried out over the past 30 years. It supplies practitioners researchers and students with general principles for designing the robust digital signal processing algorithms employed by complex radar systems.

GBP 89.99

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Cellular Signal Processing An Introduction to the Molecular Mechanisms of Signal Transduction

Cellular Signal Processing offers a unifying view of cell signaling based on the concept that protein interactions act as sophisticated data processing networks that govern intracellular and extracellular communication. It is intended for use in signal transduction courses for undergraduate and graduate students working in biology biochemistry bioinformatics and pharmacology as well as medical students. The text is organized by three key topics central to signal transduction: the protein network its energy supply and its evolution. It covers all important aspects of cell signaling ranging from prokaryotic signal transduction to neuronal signaling and also highlights the clinical aspects of cell signaling in health and disease. This new edition includes expanded coverage of prokaryotes as well as content on new developments in systems biology epigenetics redox signaling and small non-coding RNA signaling. | Cellular Signal Processing An Introduction to the Molecular Mechanisms of Signal Transduction

GBP 66.99

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Mixed-Signal Circuits

Mixed-Signal Circuits offers a thoroughly modern treatment of integrated circuit design in the context of mixed-signal applications. Featuring chapters authored by leading experts from industry and academia this book:Discusses signal integrity and large-scale simulation verification and testingDemonstrates advanced design techniques that enable digital circuits and sensitive analog circuits to coexist without any compromiseDescribes the process technology needed to address the performance challenges associated with developing complex mixed-signal circuitsDeals with modeling topics such as reliability variability and crosstalk that define pre-silicon design methodology and trends and are the focus of companies involved in wireless applicationsDevelops methods to move analog into the digital domain quickly minimizing and eliminating common trade-offs between performance power consumption simulation time verification size and costDetails approaches for very low-power performances high-speed interfaces phase-locked loops (PLLs) voltage-controlled oscillators (VCOs) analog-to-digital converters (ADCs) and biomedical filtersDelineates the respective parts of a full system-on-chip (SoC) from the digital parts to the baseband blocks radio frequency (RF) circuitries electrostatic-discharge (ESD) structures and built-in self-test (BIST) architecturesMixed-Signal Circuits explores exciting opportunities in wireless communications and beyond. The book is a must for anyone involved in mixed-signal circuit design for future technologies.

GBP 59.99

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Digital and Statistical Signal Processing

Nowadays many aspects of electrical and electronic engineering are essentially applications of DSP. This is due to the focus on processing information in the form of digital signals using certain DSP hardware designed to execute software. Fundamental topics in digital signal processing are introduced with theory analytical tables and applications with simulation tools. The book provides a collection of solved problems on digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables throughout the book so the reader can solve practical problems on signal processing quickly and efficiently. FEATURESExplains how applications of DSP can be implemented in certain programming environments designed for real time systems ex. biomedical signal analysis and medical image processing. Pairs theory with basic concepts and supporting analytical tables. Includes an extensive collection of solved problems throughout the text. Fosters the ability to solve practical problems on signal processing without focusing on extended theory. Covers the modeling process and addresses broader fundamental issues. | Digital and Statistical Signal Processing

GBP 44.99

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Signal Processing A Mathematical Approach Second Edition

Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics—including familiarity with Fourier series matrices probability and statistics—this Second Edition: Contains new chapters on convolution and the vector DFT plane-wave propagation and the BLUE and Kalman filtersExpands the material on Fourier analysis to three new chapters to provide additional background informationPresents real-world examples of applications that demonstrate how mathematics is used in remote sensingFeaturing problems for use in the classroom or practice Signal Processing: A Mathematical Approach Second Edition covers topics such as Fourier series and transforms in one and several variables; applications to acoustic and electro-magnetic propagation models transmission and emission tomography and image reconstruction; sampling and the limited data problem; matrix methods singular value decomposition and data compression; optimization techniques in signal and image reconstruction from projections; autocorrelations and power spectra; high-resolution methods; detection and optimal filtering; and eigenvector-based methods for array processing and statistical filtering time-frequency analysis and wavelets. | Signal Processing A Mathematical Approach Second Edition

GBP 44.99

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Deep Learning in Visual Computing and Signal Processing

An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing such as in biorobotics for automated brain tumor segmentation in MRI images in neural networks for use in seizure classification for digital forensic investigation based on deep learning and more. | Deep Learning in Visual Computing and Signal Processing

GBP 131.00

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Handbook of Radar Signal Analysis

This new handbook on radar signal analysis adopts a deliberate and systematic approach. It uses a clear and consistent level of delivery while maintaining strong and easy-to-follow mathematical details. The emphasis of this book is on radar signal types and their relevant signal processing and not on radar systems hardware or components. This handbook serves as a valuable reference to a wide range of audience. More specifically college-level students practicing radar engineers as well as casual readers of the subject are the intended target audience of the first few chapters of this book. As the book chapters progress these grow in complexity and specificity. Accordingly later chapters are intended for practicing engineers graduate college students and advanced readers. Finally the last few chapters contain several special topics on radar systems that are both educational and scientifically entertaining to all readers. The presentation of topics in this handbook takes the reader on a scientific journey whose major landmarks comprise the different radar subsystems and components. In this context the chapters follow the radar signal along this journey from its birth to the end of its life. Along the way the different relevant radar subsystems are analyzed and discussed in great detail. The chapter contributors of this new handbook comprise experienced academia members and practicing radar engineers. Their combined years of academic and real-world experiences are in excess of 175. Together they bring a unique easy-to-follow mix of mathematical and practical presentations of the topics discussed in this book. See the Chapter Contributors section to learn more about these individuals. | Handbook of Radar Signal Analysis

GBP 180.00

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Practical Biomedical Signal Analysis Using MATLAB

Covering the latest cutting-edge techniques in biomedical signal processing while presenting a coherent treatment of various signal processing methods and applications this second edition of Practical Biomedical Signal Analysis Using MATLAB® also offers practical guidance on which procedures are appropriate for a given task and different types of data. It begins by describing signal analysis techniques—including the newest and most advanced methods in the field—in an easy and accessible way illustrating them with Live Script demos. MATLAB® routines are listed when available and freely available software is discussed where appropriate. The book concludes by exploring the applications of the methods to a broad range of biomedical signals while highlighting common problems encountered in practice. These chapters have been updated throughout and include new sections on multiple channel analysis and connectivity measures phase-amplitude analysis functional near-infrared spectroscopy fMRI (BOLD) signals wearable devices multimodal signal analysis and brain-computer interfaces. By providing a unified overview of the field this book explains how to integrate signal processing techniques in biomedical applications properly and explores how to avoid misinterpretations and pitfalls. It helps readers to choose the appropriate method as well as design their own methods. It will be an excellent guide for graduate students studying biomedical engineering and practicing researchers in the field of biomedical signal analysis. Features: Fully updated throughout with new achievements technologies and methods and is supported with over 40 original MATLAB Live Scripts illustrating the discussed techniques suitable for self-learning or as a supplement to college courses Provides a practical comparison of the advantages and disadvantages of different approaches in the context of various applications Applies the methods to a variety of signals including electric magnetic acoustic and optical Katarzyna J. Blinowska is a Professor emeritus at the University of Warsaw Poland where she was director of Graduate Studies in Biomedical Physics and head of the Department of Biomedical Physics. Currently she is employed at the Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences. She has been at the forefront in developing new advanced time-series methods for research and clinical applications. Jarosław Żygierewicz is a Professor at the University of Warsaw Poland. His research focuses on developing methods for analyzing EEG and MEG signals brain-computer interfaces and applications of machine learning in signal processing and classification.

GBP 105.00

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Brain Computer Interface EEG Signal Processing

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components present in EEG. It also helps the reader to understand the scope of processing EEG signals and their associated applications. Further it covers specific aspects such as epilepsy detection; exploitation of P300 for various applications; design of an EEG acquisition system; and detection of saccade fix and blink from EEG and EOG data. Key Features: Explains the basis of brain computer interface and how it can be established using different EEG signal characteristics Covers the detailed classification of different types of EEG signals with respect to their physical characteristics Explains detection and diagnosis of epileptic seizures from the EEG data of a subject Reviews the design and development of a low-cost and robust EEG acquisition system Provides mathematical analysis of EEGs including MATLAB® codes for students to experiment with EEG data This book is aimed at graduate students and researchers in biomedical electrical electronics communication engineering healthcare and cyber physical systems. | Brain Computer Interface EEG Signal Processing

GBP 105.00

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CMOS Analog and Mixed-Signal Circuit Design Practices and Innovations

The purpose of this book is to provide a complete working knowledge of the Complementary Metal-Oxide Semiconductor (CMOS) analog and mixed-signal circuit design which can be applied for System on Chip (SOC) or Application-Specific Standard Product (ASSP) development. It begins with an introduction to the CMOS analog and mixed-signal circuit design with further coverage of basic devices such as the Metal-Oxide Semiconductor Field-Effect Transistor (MOSFET) with both long- and short-channel operations photo devices fitting ratio etc. Seven chapters focus on the CMOS analog and mixed-signal circuit design of amplifiers low power amplifiers voltage regulator-reference data converters dynamic analog circuits color and image sensors and peripheral (oscillators and Input/Output [I/O]) circuits and Integrated Circuit (IC) layout and packaging. Features: Provides practical knowledge of CMOS analog and mixed-signal circuit design Includes recent research in CMOS color and image sensor technology Discusses sub-blocks of typical analog and mixed-signal IC products Illustrates several design examples of analog circuits together with layout Describes integrating based CMOS color circuit | CMOS Analog and Mixed-Signal Circuit Design Practices and Innovations

GBP 46.99

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Machine Learning in Signal Processing Applications Challenges and the Road Ahead

Machine Learning in Signal Processing: Applications Challenges and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML as the driving force of the wave of artificial intelligence (AI) provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students post-graduate students research scholars faculties and academicians of computer science and engineering computer science and applications and electronics and telecommunication engineering. | Machine Learning in Signal Processing Applications Challenges and the Road Ahead

GBP 150.00

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Signal and Image Processing for Remote Sensing

Continuing in the footsteps of the pioneering first edition Signal and Image Processing for Remote Sensing Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form signal processing can contribute significantly in extracting information from remotely sensed waveforms or time series data. This book combines both providing a unique balance between the role of signal processing and image processing. Featuring contributions from worldwide experts this book continues to emphasize mathematical approaches. Not limited to satellite data it also considers signals and images from hydroacoustic seismic microwave and other sensors. Chapters cover important topics in signal and image processing and discuss techniques for dealing with remote sensing problems. Each chapter offers an introduction to the topic before delving into research results making the book accessible to a broad audience. This second edition reflects the considerable advances that have occurred in the field with 23 of 27 chapters being new or entirely rewritten. Coverage includes new mathematical developments such as compressive sensing empirical mode decomposition and sparse representation as well as new component analysis methods such as non-negative matrix and tensor factorization. The book also presents new experimental results on SAR and hyperspectral image processing. The emphasis is on mathematical techniques that will far outlast the rapidly changing sensor software and hardware technologies. Written for industrial and academic researchers and graduate students alike this book helps readers connect the dots in image and signal processing. New in This EditionThe second edition includes four chapters from the first edition plus 23 new or entirely rewritten chapters and 190 new figures. New

GBP 74.99

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Multirate Signal Processing for Communication Systems

Multirate Signal processing can improve system performance and reduce costs in applications ranging from laboratory instruments cable modems wireless systems satellites Radar Sonar and consumer entertainment products. This second edition continues to offer a systematic clear and intuitive introduction to multirate signal processing for working engineers and system designers. Significant new material and fresh concepts including Green Signal Processing techniques have been introduced. The author uses extensive examples and figures to illustrate a wide range of multirate techniques from basic resampling to leading-edge cascade and multi-stage filter structures. Along the way he draws on extensive research and consulting experience to introduce processing “tricks” shown to maximize performance and efficiency. Coverage includes:• Effect of sampling and resampling in time and frequency domains• Relationships between FIR filter specifications and filter length (# of taps)• Window design and equal-ripple (Remez) design techniques• Square-Root Nyquist and Half-band Filters including new enhancements• Polyphase FIR filters: up-sampling down-sampling• Polyphase M-path analysis and synthesis channelizers and cascade pairs• Polyphase interpolators for arbitrary sample rate changes• Dyadic half-band filters quadrature mirror filters• Channel banks for multiple arbitrary bandwidths and center frequencies • Comprehensive coverage of recursive all-pass filters and channelizers non-uniform and uniform phase mixed recursive and non-recursive• Comparisons with traditional DSP designs• Extensive applications coverage throughout | Multirate Signal Processing for Communication Systems

GBP 94.99

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Photonic Signal Processing Second Edition Techniques and Applications

This Second Edition of Photonic Signal Processing updates most recent R&D on processing techniques of signals in photonic domain from the fundamentals given in its first edition. Several modern techniques in Photonic Signal Processing (PSP) are described: Graphical signal flow technique to simplify the analysis of the photonic transfer functions plus its insights into the physical phenomena of such processors. The resonance and interference of optical fields are presented by the poles and zeros of the optical circuits respectively. Detailed design procedures for fixed and tunable optical filters. These filters brick-wall-like now play a highly important role in ultra-broadband (100GBaud) to spectral shaping of sinc temporal response so as to generate truly Nyquist sampler of the received eye diagrams 3-D PSP allows multi-dimensional processing for highly complex optical signals Photonic differentiators and integrators for dark soliton generations. Optical dispersion compensating processors for ultra-long haul optical transmission systems. Some optical devices essentials for PSP. Many detailed PSP techniques are given in the chapters of this Second Edition. | Photonic Signal Processing Second Edition Techniques and Applications

GBP 175.00

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Signal and Information Processing Networking and Computers Proceedings of the 1st International Congress on Signal and Information Processi

The First International Conference on Signal and Information Processing Networking and Computers (ICSINC) focuses on the key technologies and challenges of signal and information processing schemes network application computer theory and application etc. Topics in this conference include:Information TheoryThe work contains state-of-the-art research work in the field of information theory from traditional media coding theory compressing and streaming theory to the latest quantum theory & statistics and big data analytics featuring the most active research interests in this field. Communication SystemAs a traditional and fundamental aspect of the conference in the field of signal processing and networking ICSINC publications includes research works focusing on physical layer transmission theory such as MIMO transmission adaptive antenna theory and radar and satellite transmission etc. Research works in the field of SDN wireless security and 5G related theories are also included. Computer ScienceThe conference also encompasses relevant topics in computer science such as AI & neural network patter recognition & learning and medical image processing etc. Other topics such as internet application biometric & authentication are also included. WorkshopICSINC features workshops hosted by experts from the industrial world. The workshop on Telecom Big Data based Research and Application promotes the in-depth exploration of the most recent research and development findings on the basis of telecom big data. This workshop provides participation of the industry to showcase and commercialize their relevant technology and application as well as products. All materials will be included in publication. | Signal and Information Processing Networking and Computers Proceedings of the 1st International Congress on Signal and Information Processi

GBP 44.99

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PPG Signal Analysis An Introduction Using MATLAB

This book serves as a current resource for Photoplethysmogram (PPG) signal analysis using MATLAB®. This technology is critical in the evaluation of medical and diagnostic data utilized in mobile devices. Information and methodologies outlined in the text can be used to learn the empirical and experimental process (including data collection data analysis feature extractions and more) from inception to conclusion. This book also discusses how introduced methodologies can be used and applied as tools that will teach the user how to validate test and simulate developed algorithms before implementing and deploying the algorithms on wearable battery-driven or point-of-care devices. | PPG Signal Analysis An Introduction Using MATLAB®

GBP 44.99

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Nonlinear Optical Systems Principles Phenomena and Advanced Signal Processing

Nonlinear Optical Systems: Principles Phenomena and Advanced Signal Processing is a simplified overview of the evolution of technology associated with nonlinear systems and advanced signal processing. This book’s coverage ranges from fundamentals to phenomena to the most cutting-edge aspects of systems for next-generation biomedical monitoring and nonlinear optical transmission. The authors address how these systems are applied through photonic signal processing in contemporary optical systems for communications and/or laser systems. They include a concise but sufficient explanation of mathematical representation of nonlinear equations to provide insight into nonlinear dynamics at different phases. The book also describes advanced aspects of solitons and bound solitons for passive- and active-mode locked fiber lasers in which higher-order differential equations can be employed to represent the dynamics of amplitude evolution in the current or voltages of lightwaves in such systems. Covering a wide range of topics this book: Introduces nonlinear systems and some mathematical representations particularly the routes to chaos and bifurcation Describes nonlinear fiber lightwave lasing systems Covers nonlinear phenomena in fiber lasers including both passive and active energy storage cavities Experimentally and theoretically demonstrates soliton pulses in which lightwaves are the carrier under their envelopes Assembles and demonstrates sequences of both single and multiple solitons in a group and then assesses their dynamics in detail Examines the evolution of bound solitons which are transmitted through single-mode optical fibers that compose a phase variation system This text outlines the theory and techniques used in nonlinear physics and applications for physical systems. It also illustrates the use of MATLAB® and Simulink® computer models and processing techniques for nonlinear signals. Building on readers’ newly acquired fundamental understanding of nonlinear systems and associated signal processing the book then demonstrates the use of such applications in real-world practical environments. | Nonlinear Optical Systems Principles Phenomena and Advanced Signal Processing

GBP 77.99

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Small Signal Audio Design

Small Signal Audio Design is a highly practical handbook providing an extensive repertoire of circuits that can be assembled to make almost any type of audio system. This fully revised fourth edition offers wholly new content on internally balanced audio design electret microphones emitter-follower stability microphony in capacitors and much much more. This book continues the engaging prose style familiar to readers as you learn why mercury-filled cables are not a good idea the pitfalls of plating gold on copper and what quotes from Star Trek have to do with PCB design. Learn how to: make amplifiers with apparently impossibly low noise design discrete circuitry that can handle enormous signals with vanishingly low distortion transform the performance of low-cost opamps build active filters with very low noise and distortion while saving money on expensive capacitors make incredibly accurate volume controls make a huge variety of audio equalisers use load synthesis to make magnetic cartridge preamplifiers that have noise so low it is limited by basic physics sum switch clip compress and route audio signals build simple but ultra-low noise power supplies be confident that phase perception is not an issue Including all the crucial theories but with minimal mathematics Small Signal Audio Design is the must-have companion for anyone studying researching or working in audio engineering and audio electronics.

GBP 74.99

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Small Signal Audio Design

Small Signal Audio Design is a highly practical handbook providing an extensive repertoire of circuits that can be assembled to make almost any type of audio system. The publication of Electronics for Vinyl has freed up space for new material (though this book still contains a lot on moving-magnet and moving-coil electronics) and this fully revised third edition offers wholly new chapters on tape machines guitar electronics and variable-gain amplifiers plus much more. A major theme is the use of inexpensive and readily available parts to obtain state-of-the-art performance for noise distortion crosstalk frequency response accuracy and other parameters. Virtually every page reveals nuggets of specialized knowledge not found anywhere else. For example you can improve the offness of a fader simply by adding a resistor in the right place- if you know the right place. Essential points of theory that bear on practical audio performance are lucidly and thoroughly explained with the mathematics kept to an absolute minimum. Self’s background in design for manufacture ensures he keeps a wary eye on the cost of things. This book features the engaging prose style familiar to readers of his other books. You will learn why mercury-filled cables are not a good idea the pitfalls of plating gold on copper and what quotes from Star Trek have to do with PCB design. Learn how to: make amplifiers with apparently impossibly low noise design discrete circuitry that can handle enormous signals with vanishingly low distortion use humble low-gain transistors to make an amplifier with an input impedance of more than 50 megohms transform the performance of low-cost-opamps build active filters with very low noise and distortion make incredibly accurate volume controls make a huge variety of audio equalisers make magnetic cartridge preamplifiers that have noise so low it is limited by basic physics by using load synthesis sum switch clip compress and route audio signals be confident that phase perception is not an issue This expanded and updated third edition contains extensive new material on optimising RIAA equalisation electronics for ribbon microphones summation of noise sources defining system frequency response loudness controls and much more. Including all the crucial theory but with minimal mathematics Small Signal Audio Design is the must-have companion for anyone studying researching or working in audio engineering and audio electronics.

GBP 74.99

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Signal Transduction and Smooth Muscle

All hollow organs such as blood vessels the gastrointestinal tract airways male and female reproductive systems and the urinary bladder are primarily composed of smooth muscle. Such organs regulate flow propulsion and mixing of luminal contents and storage by the contraction and relaxation of smooth muscle cells. Smooth muscle cells respond to numerous inputs including pressure shear stress intrinsic and extrinsic innervation hormones and other circulating molecules as well as autocrine and paracrine factors. This book is a review of smooth muscle cell regulation in the cardiovascular reproductive GI and other organ systems with emphasis on calcium and receptor signaling. Key selling features:Focuses on smooth muscles of different types Describes ion channel signaling mechanismsReviews calcium and receptor signalingIncludes novel cutting-edge methodologiesSummarizes studies of mice with genetically encoding sensors in smooth muscleChapter 9 of this book is freely available as a downloadable Open Access PDF under a CC-BY 4. 0 license. https://s3-us-west-2. amazonaws. com/tandfbis/rt-files/docs/Open+Access+Chapters/9781498774222_oachapter9. pdf | Signal Transduction and Smooth Muscle

GBP 44.99

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Digital Signal Processing in Audio and Acoustical Engineering

Starting with essential maths fundamentals of signals and systems and classical concepts of DSP this book presents from an application-oriented perspective modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include but are not limited to room acoustic parameter measurements filter design codecs machine learning for audio pattern recognition and machine audition spatial audio array technologies and hearing aids. Some research outcomes are fed into book as worked examples. As a research informed text the book attempts to present DSP and machine learning from a new and more relevant angle to acousticians and audio engineers. Some MATLAB® codes or frameworks of algorithms are given as downloads available on the CRC Press website. Suggested exploration and mini project ideas are given for proof of concept type of exercises and directions for further study and investigation. The book is intended for researchers professionals and senior year students in the field of audio acoustics. | Digital Signal Processing in Audio and Acoustical Engineering

GBP 44.99

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Advanced Signal Processing Theory and Implementation for Sonar Radar and Non-Invasive Medical Diagnostic Systems Second Edition

Discover the Applicability Benefits and Potential of New Technologies As advances in algorithms and computer technology have bolstered the digital signal processing capabilities of real-time sonar radar and non-invasive medical diagnostics systems cutting-edge military and defense research has established conceptual similarities in these areas. Now civilian enterprises can use government innovations to facilitate optimal functionality of complex real-time systems. Advanced Signal Processing details a cost-efficient generic processing structure that exploits these commonalities to benefit commercial applications. Learn from a Renowned Defense Scientist Researcher and Innovator The author preserves the mathematical focus and key information from the first edition that provided invaluable coverage of topics including adaptive systems advanced beamformers and volume visualization methods in medicine. Integrating the best features of non-linear and conventional algorithms and explaining their application in PC-based architectures this text contains new data on: Advances in biometrics image segmentation registration and fusion techniques for 3D/4D ultrasound CT and MRI Fully digital 3D/ (4D: 3D+time) ultrasound system technology computing architecture requirements and relevant implementation issues State-of-the-art non-invasive medical procedures non-destructive 3D tomography imaging and biometrics and monitoring of vital signs Cardiac motion correction in multi-slice X-ray CT imaging Space-time adaptive processing and detection of targets interference-intense backgrounds comprised of clutter and jamming With its detailed explanation of adaptive synthetic-aperture and fusion-processing schemes with near-instantaneous convergence in 2-D and 3-D sensors (including planar circular cylindrical and spherical arrays) the quality and illustration of this text’s concepts and techniques will make it a favored reference. | Advanced Signal Processing Theory and Implementation for Sonar Radar and Non-Invasive Medical Diagnostic Systems Second Edition

GBP 69.99

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Fraud Investigation Case Studies of Crime Signal Detection

Investigating white-collar crime is like any other investigation concerned with past events. However a number of characteristics require a contingent approach to these investigations. This book describes the process of conducting private internal investigations by fraud examiners and presents a number of reports from the United States Sweden and Norway. It evaluates a number of internal investigation reports to reflect on the practice of fraud examinations. Empirical studies provide a basis to reflect theoretically on practice improvements for fraud examiners. Rather than presenting normative recommendations based on ideal or stereotype situations so often found in existing books this book develops guidelines based on empirical study of current practice. Internal investigations should uncover the truth about misconduct or crime without damaging the reputation of innocent employees. Typical elements of an inquiry include collection and examination of written and recorded evidence interviews with suspects and witnesses data in computer systems and network forensics. Internal inquiries may take many forms depending upon the nature of the conduct at issue and the scope of the investigation. There should be recognition at the outset of any investigation that certain materials prepared during the course of the investigation may eventually be subject to disclosure to law enforcement authorities or other third parties. The entire investigation should be conducted with an eye towards preparing a final report. As evidenced in this book private fraud examiners take on complicated roles in private internal investigations and often fail in their struggle to reconstruct the past in objective ways characterized by integrity and accountability. | Fraud Investigation Case Studies of Crime Signal Detection

GBP 36.99

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Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSPs

This updated edition gives readers hands-on experience in real-time DSP using a practical step-by-step framework that also incorporates demonstrations exercises and problems coupled with brief overviews of applicable theory and MATLAB applications. Organized in three sections that cover enduring fundamentals and present practical projects and invaluable appendices this new edition provides support for the most recent and powerful of the inexpensive DSP development boards currently available from Texas Instruments: the OMAP-L138 LCDK. It includes two new real-time DSP projects as well as three new appendices: an introduction to the Code Generation tools available with MATLAB a guide on how to turn the LCDK into a portable battery-operated device and a comparison of the three DSP boards directly supported by this edition. | Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSPs

GBP 44.99

1

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Ferry Services in Europe

Signal Processing in Radar Systems

Cellular Signal Processing An Introduction to the Molecular Mechanisms of Signal Transduction

Mixed-Signal Circuits

Digital and Statistical Signal Processing

Signal Processing A Mathematical Approach Second Edition

Deep Learning in Visual Computing and Signal Processing

Handbook of Radar Signal Analysis

Practical Biomedical Signal Analysis Using MATLAB

Brain Computer Interface EEG Signal Processing

CMOS Analog and Mixed-Signal Circuit Design Practices and Innovations

Machine Learning in Signal Processing Applications Challenges and the Road Ahead

Signal and Image Processing for Remote Sensing

Multirate Signal Processing for Communication Systems

Photonic Signal Processing Second Edition Techniques and Applications

Signal and Information Processing Networking and Computers Proceedings of the 1st International Congress on Signal and Information Processi

PPG Signal Analysis An Introduction Using MATLAB

Nonlinear Optical Systems Principles Phenomena and Advanced Signal Processing

Small Signal Audio Design

Small Signal Audio Design

Signal Transduction and Smooth Muscle

Digital Signal Processing in Audio and Acoustical Engineering

Advanced Signal Processing Theory and Implementation for Sonar Radar and Non-Invasive Medical Diagnostic Systems Second Edition

Fraud Investigation Case Studies of Crime Signal Detection

Real-Time Digital Signal Processing from MATLAB to C with the TMS320C6x DSPs

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