Signal Processing And Communications – alle Bücher, Seite 2 online kaufen

Henry Stark, John W. Woods
Probability and Random Processes with Applications to Signal Processing

For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers, 4e is a comprehensive treatment of probability and random processes that, more than any other…

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Elliptically Symmetric Distributions in Signal Processing and Machine Learning

This book constitutes a review of recent developments in the theory and practical exploitation of the elliptical model for measured data in both classical and emerging areas of signal processing. It devel…

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Machine Learning Models and Architectures for Biomedical Signal Processing

Machine Learning Models and Architectures for Biomedical Signal Processing presents the fundamental concepts of machine learning techniques for bioinformatics in an interactive way. The book investigates …

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Jeffrey A. Fessler, Raj Rao Nadakuditi
Linear Algebra for Data Science, Machine Learning, and Signal Processing

"Master basic matrix methods by seeing how the math is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as…

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Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction

Artificial Intelligence and Multimodal Signal Processing in Human-Machine Interaction presents an overview of an emerging field that is concerned with exploiting multiple modalities of communication in bo…

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Dimitrios Peroulis, Mohammad Abu Khater
Tunable Evanescent-Mode Filters

Comprehensive resource presenting tunable evanescent-mode filters design principles, implementation technologies, and applications, with hardware demonstrations and illustrations to support concepts Cover…

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Dong Wang, Bingchang Hou
Sparsity Measures and Their Signal Processing Applications for Machine Condition Monitoring

Sparsity Measures and their Signal Processing Applications for Machine Condition Monitoring presents newly designed sparsity measures and their advanced signal processing technologies for machine conditio…

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William A. Pearlman
Mathematical Transformations and Wavelet Filters for Source Coding and Signal Processing Systems

This book teaches the fundamentals and mathematical formulas of reversible transformations (or transforms) that are used in many source coding and signal processing systems. These mathematical transforms …

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Fatos Tunay Yarman Vural (Middle East Technical University, Turkey), Emre Akbas (Middle East Technical University, Turkey)
Signals and Systems

Introductory course textbook on signals and systems with numerous examples and code snippets implemented in Python Supported by code examples, Signals and Systems: Theory and Practical Explorations with P…

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C Kok
Digital Image Denoising in MATLAB

Presents a review of image denoising algorithms with practical MATLAB implementation guidance Digital Image Denoising in MATLAB provides a comprehensive treatment of digital image denoising, containing a …

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Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing

Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing features recent advances in machine learning coupled with new signal processing-based methods for cardiovascular dat…

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Sandeep Ummethala
Plasmonic-Organic and Silicon-Organic Hybrid Modulators for High-Speed Signal Processing

High-speed electro-optic modulators in silicon platform are introduced and experimentally verified. The devices rely on plasmonic and photonic slot waveguides and are combined with efficient organic elect…

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Innovative Applications of Artificial Neural Networks to Data Analytics and Signal Processing

This book deals with the application of ANNs in real-world problems requiring data analysis and signal processing. Artificial neural networks (ANNs) have emerged in society thanks to the large number of a…

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Yury Polyanskiy, Yihong Wu
Information Theory

"This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning. Includes over 210 student exercises, …

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William E Ryan, Shu Lin, Stephen G Wilson
Channel Codes

"This book is for students, researchers, and practitioners interested in codes for error correction in data communication systems and data storage devices. Both theory and practice of classical and modern…

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Information-Theoretic Radar Signal Processing

A comprehensive introduction to the emerging research in information-theoretic radar signal processing Signal processing plays a pivotal role in radar systems to estimate, visualize, and leverage useful t…

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Artyom M Grigoryan, Sos S Agaian
Quantum Image Processing in Practice

Comprehensive resource addressing the need for a quantum image processing machine learning model that can outperform classical neural networks Quantum Image Processing in Practice explores the transformat…

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Iain E. Richardson
Coding Video: A Practical Guide to Hevc and Beyond

A fully up-to-date guide to transformative consumer technologies Video compression - or video coding - has been at the centre of a revolution in the way video is produced, delivered, and consumed. It has …

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John Semmlow
Circuits, Signals, and Systems for Bioengineers

Circuits, Signals, and Systems for Bioengineers: A MATLAB-Based Introduction, Fourth Edition, guides the reader through the electrical engineering principles that can be applied to biological systems. It …

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Sergios Theodoridis
Machine Learning

Machine Learning: From the Classics to Deep Networks, Transformers and Diffusion Models, Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian d…

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