Digital signal processing (DSP)

This is a practical, rigorous guide to the compressive imaging revolution that has fundamentally changed modern image reconstruction.

Develops the theory of Markov and semi-Markov processes in an elementary setting suitable for senior undergraduate and graduate students.

Develops the theory of Markov and semi-Markov processes in an elementary setting suitable for senior undergraduate and graduate students.

A unique, top-down treatment of the principles and practice of signal processing used in real mobile communications systems.

Understand the methods of modern non-stationary signal processing with authoritative insights from a leader in the field.

A unique, top-down treatment of the principles and practice of signal processing used in real mobile communications systems.

Understand the methods of modern non-stationary signal processing with authoritative insights from a leader in the field.

Achieve faster, more efficient heterogeneous network design and optimization with this comprehensive guide.

Achieve faster, more efficient heterogeneous network design and optimization with this comprehensive guide.

Understand design principles of key advanced transmission technologies by means of trade-off analysis using a range of mathematical tools.

Understand design principles of key advanced transmission technologies by means of trade-off analysis using a range of mathematical tools.

This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.

This study allows readers to get to grips with the conceptual tools and practical techniques for building robust machine learning in the face of adversaries.

A comprehensive and mathematically accessible introduction to digital signal processing, covering theory, advanced topics, and applications.

This snapshot of the frontier of statistics and network analysis focuses on the foundational topics of modeling, sampling, and design.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.

This compact account covers both well-established methodology and the theory of models recently introduced in the graphical model literature.

Learn functional programming and the Haskell programming language through algorithmic music composition and virtual instrument design.

Learn functional programming and the Haskell programming language through algorithmic music composition and virtual instrument design.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.

Learn how information theoretic approaches can inform the design of more secure information systems and networks with this expert guide.

Learn how information theoretic approaches can inform the design of more secure information systems and networks with this expert guide.

This comprehensive, self-contained book covers everything needed to understand how radar signals are used to study Earth''s environment.

This comprehensive, self-contained book covers everything needed to understand how radar signals are used to study Earth''s environment.

This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.

This unique text helps make sense of big data using signal processing techniques, in applications including machine learning, networking, and energy systems.

This book describes how human hearing works and how to build machines that analyze sounds in the same way that people do.

This book describes how human hearing works and how to build machines that analyze sounds in the same way that people do.

This book provides comprehensive, authoritative surveys covering the modeling, automatic detection, analysis, and synthesis of nonverbal social signals.

Learn about the key technologies and state of the art in research for full-duplex communications with this comprehensive guide.

This book provides comprehensive, authoritative surveys covering the modeling, automatic detection, analysis, and synthesis of nonverbal social signals.

Learn about the key technologies and state of the art in research for full-duplex communications with this comprehensive guide.

A modern mathematical approach to the design of communication network architectures, algorithms and protocols, blending control, optimization, and stochastic network theories.

Introduces powerful, flexible and practical digital waveform generation techniques, enabling the design of bespoke digital waveform generation systems from scratch.

A modern mathematical approach to the design of communication network architectures, algorithms and protocols, blending control, optimization, and stochastic network theories.

Introduces powerful, flexible and practical digital waveform generation techniques, enabling the design of bespoke digital waveform generation systems from scratch.

The basic concepts of digital signal processing are introduced, building on fundamental principles and connecting theory and practice.

This book teaches fundamentals of stream processing, covering application design, distributed systems infrastructure, and continuous analytic algorithms.

This book teaches fundamentals of stream processing, covering application design, distributed systems infrastructure, and continuous analytic algorithms.

Learn the key concepts and get hands-on experience with this step-by-step guide to constructing a fully functioning software receiver.

A detailed presentation of compressed sensing by leading researchers, covering the most significant theoretical and application-oriented advances.

This comprehensive reference delivers the understanding and skills needed to take advantage of compressive sensing in wireless networks.

An accessible introduction to Hilbert spaces, combining the theory with applications of Hilbert methods in signal processing.

This comprehensive reference delivers the understanding and skills needed to take advantage of compressive sensing in wireless networks.

An accessible introduction to Hilbert spaces, combining the theory with applications of Hilbert methods in signal processing.

A self-contained, graduate-level textbook that develops from scratch classical results as well as advances of the past decade.

A comprehensive and self-contained exploration of cutting-edge applications in adaptive wireless communications, perfect for self-study.

A detailed, up-to-date introduction to heterogeneous cellular networking, including discussion of practical design considerations and industry case studies.