Digital signal processing (DSP)

Frequency-Domain Receiver Design for Doubly-Selective Channels discusses broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility.

Frequency-Domain Receiver Design for Doubly-Selective Channels discusses broadband wireless transmission techniques, which are serious candidates to be implemented in future broadband wireless and cellular systems, aiming at providing high and reliable data transmission and concomitantly high mobility.

Welcome to the second volume of Game Audio Programming: Principles and Practices - the first series of its kind dedicated to the art of game audio programming!

Welcome to the second volume of Game Audio Programming: Principles and Practices - the first series of its kind dedicated to the art of game audio programming!

This book covers random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density.

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year.

Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development.

This book covers various quantitative methods for preprocessing and analyzing human EEG signals.

The latest edition provides a comprehensive foundation for image and video compression.

Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling theory, emphasizing the interaction between sampling theory and other branches of mathematical analysis, including the theory of boundary-value problems, frames, wavelets, multiresolution analysis, special functions, and functional analysis.

Advances in Shannon's Sampling Theory provides an up-to-date discussion of sampling theory, emphasizing the interaction between sampling theory and other branches of mathematical analysis, including the theory of boundary-value problems, frames, wavelets, multiresolution analysis, special functions, and functional analysis.

This book first attempts to formulate the problem of 'migration' as a method applied in seismic prospecting and then to comprehend the unifying fundamentals of the numerous and various migration techniques now in use.

This book first attempts to formulate the problem of 'migration' as a method applied in seismic prospecting and then to comprehend the unifying fundamentals of the numerous and various migration techniques now in use.

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems.

Optimal and Adaptive Signal Processing covers the theory of optimal and adaptive signal processing using examples and computer simulations drawn from a wide range of applications, including speech and audio, communications, reflection seismology and sonar systems.

Considerable attention from the international scientific community is currently focused on the wide ranging applications of wavelets.

Many new DCT-like transforms have been proposed since the first edition of this book.

Many new DCT-like transforms have been proposed since the first edition of this book.

Brain-Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain-Computer Interfaces (BCIs).

Brain-Computer Interfaces Handbook: Technological and Theoretical Advances provides a tutorial and an overview of the rich and multi-faceted world of Brain-Computer Interfaces (BCIs).

The book covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and the fault identification process using motor currents electrical signature analysis.

The book covers various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, faults for induction motors failures, new trends in condition monitoring, and the fault identification process using motor currents electrical signature analysis.

This book highlights the basic theories and technical principles of the synthetic aperture radar (SAR), aiming to bridge theories and applications for readers.

Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses on a comprehensive treatment of deterministic sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution is available in general.

Nonlinear Estimation: Methods and Applications with Deterministic Sample Points focusses on a comprehensive treatment of deterministic sample point filters (also called Gaussian filters) and their variants for nonlinear estimation problems, for which no closed-form solution is available in general.

Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.

A recent study indicates that 20 million people in the United States have significant sensorineural hearing loss.

A recent study indicates that 20 million people in the United States have significant sensorineural hearing loss.

Digital Underwater Acoustic Communications focuses on describing the differences between underwater acoustic communication channels and radio channels, discusses loss of transmitted sound in underwater acoustic channels, describes digital underwater acoustic communication signal processing, and provides a comprehensive reference to digital underwater acoustic communication equipment.

This book explains the principles of biosignal processing and its practical applications using MATLAB.

Get up to speed with the latest developments in automotive Ethernet technology and implementation with this fully revised second edition.

Learn about a new, information-theoretic approach to minimizing interference in 5G wireless networks.

Learn about a new, information-theoretic approach to minimizing interference in 5G wireless networks.

This text provides a rigorous treatment of signal and systems concepts in lucid language with numerous solved and unsolved examples.

This book covers formulation, algorithms, and structural results of partially observed Markov decision processes, linking theory to real-world applications in controlled sensing.

Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.

Presents state-of-the-art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics.

An engaging introduction to the critical tools needed to design and evaluate engineering systems operating in uncertain environments.

An engaging introduction to the critical tools needed to design and evaluate engineering systems operating in uncertain environments.

Learn how automotive Ethernet is revolutionizing in-car networking from the experts at the core of its development.

A comprehensive guide to sampling for engineers, covering the fundamental mathematical underpinnings together with practical engineering principles and applications.

Tough Test Questions?

A comprehensive guide to sampling for engineers, covering the fundamental mathematical underpinnings together with practical engineering principles and applications.

Digital signal processing (DSP) has been applied to a very wide range of applications.

This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance has been fully updated and revised to reflect recent developments in the theory and practical applications of wavelet transform methods.

This book provides a comprehensive overview of music data analysis, from introductory material to advanced concepts.

Spectrum Sharing in Wireless Networks: Fairness, Efficiency, and Security provides a broad overview of wireless network spectrum sharing in seven distinct sections: The first section examines the big picture and basic principles, explaining the concepts of spectrum sharing, hardware/software function requirements for efficient sharing, and future trends of sharing strategies.

Convex Optimization for Signal Processing and Communications: From Fundamentals to Applications provides fundamental background knowledge of convex optimization, while striking a balance between mathematical theory and applications in signal processing and communications.