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Mathematics in Signal Processing V

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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Linear Estimation and Detection in Krylov Subspaces

This book focuses linear estimation theory, which is essential for effective signal processing. The first section offers a;

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Wavelets and Signal Processing

study and research in the rapidly growing areas of wavelets, wavelet transforms, signal analysis, and signal and image processing. Ideal;

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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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Digital Signal Processing

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Handbook of Problems in Engineering Mathematics and Physics

, Fluid Dynamics, Signal Processing, Electromagnetic field theory, and Quantum Mechanics. Many of the problems introduced in this book appear as a;

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Introduction to Wavelets and Wavelet Transforms

This book is the only source available that presents a unified view of the theory and applications of discrete and continuous- time signals;

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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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Digital Signal Processing With Examples In Matlab

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are;

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Statistical Signal Processing in Engineering

A problem-solving approach to statistical signal processing for practicing engineers, technicians, and graduate students This book takes a;

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Introduction to Digital Signal Processing

Introduction to Digital Signal Processing covers the basic theory and practice of digital signal processing (DSP) at an introductory;

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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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Communications Signal Processing and Systems

This book brings together papers from the 2018 International Conference on Communications, Signal Processing, and Systems, which was held;

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Mathematical Aspects of Signal Processing

Written using clear and accessible language, this text provides detailed coverage of the core mathematical concepts underpinning signal;

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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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Communications, Signal Processing, and Systems: Proceedings of the 2018 CSPS Volume II

This book brings together papers from the 2018 International Conference on Communications, Signal Processing, and Systems, which was held;

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Modern Digital Signal Processing

Intended as a text for three courses - Signals and Systems, Digital Signal Processing (DSP), and DSP Architecture - this comprehensive text;

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Advanced Signal Analysis and its Applications to Mathematical Physics

The mathematical tools used in signal analysis involve differential and difference equations, integral equations, matrix algebra and;

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Signal Processing

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

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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A Wavelet Tour of Signal Processing

of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard;

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An Introduction to Statistical Signal Processing

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;

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An Introduction to Statistical Signal Processing

This book describes the essential tools and techniques of statistical signal processing. At every stage theoretical ideas are linked to;

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Applied Introduction to Digital Signal Processing

For undergraduate courses in Digital Signal Processing, and for two/three-year programs in electronics or computer engineering;

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Bispectral Methods of Signal Processing

By studying applications in radar, telecommunications and digital image restoration, this monograph discusses signal processing techniques;

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Fast Algorithms For Signal Processing

Efficient signal processing algorithms are important for embedded and power-limited applications since, by reducing the number;

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