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An Introduction to Statistical Signal Processing

An Introduction to Statistical Signal Processing Image
This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic probability, random objects, expectation, and second-order moment theory, followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the text....

Digital Signal Processing System Design

LabVIEW-Based Hybrid Programming
Digital Signal Processing System Design Image
2nd Edition
This book combines textual and graphical programming to form a hybrid programming approach, enabling a more effective means of building and analyzing DSP systems. The hybrid programming approach allows the use of previously developed textual programming solutions to be integrated into LabVIEW's highly interactive and visual environment, providing an easier and quicker method for building DSP systems. This book is an ideal introduction for engineers and students seeking to develop DSP systems in quick time. Features . The only DSP laboratory book that combines textual and graphical programming . 12 lab experiments that incorporate C/MATLAB code blocks i...

A Wavelet Tour of Signal Processing

The Sparse Way
A Wavelet Tour of Signal Processing Image
3rd Edition
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford UniversityThe new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, ...

A Wavelet Tour of Signal Processing

A Wavelet Tour of Signal Processing Image
2nd Edition
This book is intended to serve as an invaluable reference for anyone concerned with the application of wavelets to signal processing. It has evolved from material used to teach "wavelet signal processing" courses in electrical engineering departments at Massachusetts Institute of Technology and Tel Aviv University, as well as applied mathematics departments at the Courant Institute of New York University and colePolytechnique in Paris. Key Features* Provides a broad perspective on the principles and applications of transient signal processing with wavelets* Emphasizes intuitive understanding, while providing the mathematical foundations and d...


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