Digital signal processing (DSP)

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.

Hilbert space frames have long served as a valuable tool for signal and image processing due to their resilience to additive noise, quantization, and erasures, as well as their ability to capture valuable signal characteristics.

Over the last 20 years, multiscale methods and wavelets have revolutionized the field of applied mathematics by providing an efficient means of encoding isotropic phenomena.

This original monograph investigates several unsolved problems that currently exist in coding theory.

The Applied and Numerical Harmonic Analysis ( ANHA) book series aims to provide the engineering, mathematical, and scientific communities with significant developments in harmonic analysis, ranging from abstract har- monic analysis to basic applications.

Sampling, wavelets, and tomography are three active areas of contemporary mathematics sharing common roots that lie at the heart of harmonic and Fourier analysis.

This volume is designed as a textbook for an introductory course on wavelet analysis and time-frequency analysis aimed at graduate students or advanced undergraduates in science and engineering.

Since its emergence as an important research area in the early 1980s, the topic of wavelets has undergone tremendous development on both theoretical and applied fronts.

This essentially self-contained, deliberately compact, and user-friendly textbook is designed for a first, one-semester course in statistical signal analysis for a broad audience of students in engineering and the physical sciences.

At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing.

This textbook is an introduction to wavelet transforms and accessible to a larger audience with diverse backgrounds and interests in mathematics, science, and engineering.

The Norbert Wiener Center for Harmonic Analysis and Applications provides a state-of-the-art research venue for the broad emerging area of mathematical engineering in the context of harmonic analysis.

The Norbert Wiener Center for Harmonic Analysis and Applications provides a state-of-the-art research venue for the broad emerging area of mathematical engineering in the context of harmonic analysis.

H-infinity engineering continues to establish itself as a discipline of applied mathematics.

Scientia Gratiii Scientiae It is now thirteen years since the first book that discusses transfinite graphs and elec- trical networks appeared [50].

The classical subject of bases in Banach spaces has taken on a new life in the modern development of applied harmonic analysis.

Representations, Wavelets, and Frames contains chapters pertaining to this theme from experts and expositors of renown in mathematical analysis and representation theory.

Based on a streamlined presentation of the authors' successful work Linear Systems, this textbook provides an introduction to systems theory with an emphasis on control.

Based on a streamlined presentation of the author's previous work, An Introduction to Frames and Riesz Bases, this new textbook fills a gap in the literature, developing frame theory as part of a dialogue between mathematicians and engineers.

This textbook is an introduction to the theory and applications of finite tight frames, an area that has developed rapidly in the last decade.

As soon as we (AS and PS) completed writing the book on H Optimal Con- 2 trol, another task of equal magnitude was laid to our charge.

The Applied and Numerical Harmonic Analysis (ANHA) book series aims to provide the engineering, mathematical, and scienti?

Advances in Discrete Tomography and Its Applications is a unified presentation of new methods, algorithms, and select applications that are the foundations of multidimensional image reconstruction by discrete tomographic methods.

Satellite navigation receivers are used to receive, process, and decode space-based navigation signals, such as those provided by the GPS constellation of satellites.

This book was designed as a text for a ?

Shapes have been among man's fascinations from thestoneage to thespace age.

This book gives an elementary introduction to a classical area of mathemat- ics - approximation theory - in a way that naturally leads to the modern field of wavelets.

Developed in this book are several deep connections between time-frequency (Fourier/Gabor) analysis and time-scale (wavelet) analysis, emphasizing the powerful adaptive methods that emerge when separate techniques from each area are properly assembled in a larger context.

Carlos A.

Over the course of a scientific career spanning more than fifty years, Alex Grossmann (1930-2019) made many important contributions to a wide range of areas including, among others, mathematics, numerical analysis, physics, genetics, and biology.

Over the course of a scientific career spanning more than fifty years, Alex Grossmann (1930-2019) made many important contributions to a wide range of areas including, among others, mathematics, numerical analysis, physics, genetics, and biology.

A concise and self-contained 2010 introduction to the theory of graph spectra and its applications to the study of complex networks.

This self-contained book includes both basic and advanced topics, together with plenty of insightful real-world examples and end-of-chapter problems.

A concise and self-contained 2010 introduction to the theory of graph spectra and its applications to the study of complex networks.

Captures the most recent and innovative designs, architectures, protocols, and mechanisms needed to successfully build the next-generation Internet.