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Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal;
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This is a collection of papers from the IMA conference on Mathematics in Signal Processing. Signal processing is an important industrial;
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modern methods used in signal processing. It is designed to impart to the reader the mathematical techniques used in modelling signals and;
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presenting key concepts and providing the mathematical foundations and advanced algorithms that are essential to the design of any signal processing;
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Mathematical Foundations for Signal Processing, Communications, and Networking describes mathematical concepts and results important in the;
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processing theory. Readers will learn this new approach to constructing the unified mathematical fundamentals of both information theory and signal;
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Optimum and Adaptive Signal Processing has been developed in a simple, logical and directed way. The ease of understanding is facilitated;
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of challenges in the processes of acquisition, preprocessing, segmentation, mathematical modelling and pattern recognition in ECG signals, presenting;
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This book introduces the basic concepts of signal processing for scientists and students with no engineering background. The book presents;
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developed MATLAB examples throughout the text illustrate the mathematical concepts and use of digital signal processing algorithms. An abundance;
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The mathematical tools used in signal analysis involve differential and difference equations, integral equations, matrix algebra and;
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Volume 3 of the second edition of the fully revised and updated Digital Signal and Image Processing using MATLAB, after first two volumes;
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This textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate;
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This textbook for a one semester introductory course in digital signal processing for senior undergraduate and first year graduate;
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Quantum-Mechanical Signal Processing and Spectral Analysis describes the novel application of quantum mechanical methods to signal;
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Cellular Signal Processing is intended for use in signal transduction courses for undergraduate and graduate students. It offers a unifying;
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The field of signal processing has seen exponential growth during the past decade, as remarkable innovations both in research and;
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This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal;
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This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal;
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Signal Processing for Multistatic Radar Systems: Adaptive Waveform Selection, Optimal Geometries and Pseudolinear Tracking Algorithms;
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Signal processing is now a multidisciplinary topic, and one that has applications in many fields including, but not limited to, science;
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This book is based on a collection of the past exams for the VLSI Analog Signal Processing Circuits class (EEE598) the author offered;
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Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to;
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Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to;
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experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from;
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experts, this book continues to emphasize mathematical approaches. Not limited to satellite data, it also considers signals and images from;
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INTRODUCTION TO WAVELET TRANSFORM: A Signal Processing Approach, has been developed in a simple, logical and directed way. To understand;
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