Digital signal processing (DSP)

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.

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.

This unified random matrix approach to large-dimensional machine learning covers applications from power detection to deep neural networks.

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Clear explanations and supportive online material develop an intuitive understanding of the meaning and use of Laplace.

An accessible textbook that uses step-by-step explanations, relatively easy mathematics and numerous examples to aid student understanding.

Now in paperback: the new classic on the theory of statistical inference in statistical models with an infinite-dimensional parameter space.

This book provides a theoretical foundation and conceptual framework for the problem of recovering the phase of the Fourier transform.

This book provides a theoretical foundation and conceptual framework for the problem of recovering the phase of the Fourier transform.

Unified Signal Theory is an indispensible textbook dealing with the theory of deterministic signals; a topic of fundamental interest to graduates and senior undergraduates in the areas of information engineering (telecommunications, control, systems theory and electronics), astronomy, oceanography, earth science, biology and medicine.

This text deals with signal processing as an important aspect of electronic communications in its role of transmitting information, and the language of its expression.

From industrial and teaching experience the authors provide a blend of theory and practice of digital signal processing (DSP) for advanced undergraduate and post-graduate engineers reading electronics.

This book forms the first part of a complete MSc course in an area that is fundamental to the continuing revolution in information technology and communication systems.

This book offers the first comprehensive coverage of microwave medical imaging, with a special focus on the development of novel devices and methods for different applications in both the diagnosis and treatment of various diseases.