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Bioelectrical Signal Processing in Cardiac and Neurological Applications

approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two "heavyweight;

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Phonocardiography Signal Processing

of cardiac acoustics vibration by means of a microphone-transducer. Therefore, understanding the nature and source of this signal is important to;

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Signal Processing and Machine Learning for Biomedical Big Data

alternate therapies, drugs, and diagnostic tools. Signal Processing and Machine Learning for Biomedical Big Data thus discusses modalities; the;

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EEG/ERP Analysis

Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and;

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EEG/ERP Analysis

Changes in the neurological functions of the human brain are often a precursor to numerous degenerative diseases. Advanced EEG systems and;

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Phonocardiography Signal Processing

of cardiac acoustics vibration by means of a microphone-transducer. Therefore, understanding the nature and source of this signal is important to;

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Ultra Low-Power Biomedical Signal Processing

. in pacemakers, where the wavelet transform provides a means to extremely reliable cardiac signal detection. In Ultra Low-Power Biomedical Signal;

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Signal Processing and Image Processing for Acoustical Imaging

This book discusses the applications of signal and image processing in acoustical imaging. It first describes the basic tools involved;

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Multimedia Signal Processing

Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The;

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Applied Signal and Image Processing

Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image;

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Biomedical Signal Processing

This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection;

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Signal Processing

The field of signal processing has seen exponential growth during the past decade, as remarkable innovations both in research and;

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Advanced Signal Processing and Digital Noise Reduction

Stochastic signal processing plays a central role in telecommunication and information processing systems, and has a wide range;

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Signal Processing and Machine Learning with Applications

Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic;

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Time Frequency And Wavelets In Biomedical Signal Processing

Brimming with top articles from experts in signal processing and biomedical engineering, Time Frequency and Wavelets in Biomedical Signal;

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Window Functions and Their Applications in Signal Processing

zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their;

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Window Functions and Their Applications in Signal Processing

zero-valued outside the chosen interval. They are well established as a vital part of digital signal processing. Window Functions and their;

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Nonlinear Signal and Image Processing

Nonlinear signal and image processing methods are fast emerging as an alternative to established linear methods for meeting the challenges;

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Signal Processing in Medicine and Biology

This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing;

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Digital and Statistical Signal Processing

digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables;

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Digital and Statistical Signal Processing

digital signal processing and statistical signal processing. The solutions are based directly on the math-formulas given in extensive tables;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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Optimal and Adaptive Signal Processing

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations;

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An Introduction to Signal Processing for Non-Engineers

This book introduces the basic concepts of signal processing for scientists and students with no engineering background. The book presents;

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Digital Aliasfree Signal Processing

provides practical and comprehensive coverage of the theory and techniques behind alias-free digital signal processing. Key features:* Analyses;

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Handbook of Formulas and Tables for Signal Processing

This book serves as an essential reference for all engineers involved in signal and image processing. It examines the theories and;

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Brain-Computer Interface

neurological disorder like epilepsy and detecting human emotions, latest signal processing techniques and many more.;

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