
Concise Signal Models
by Michael Wakin
Publisher: Connexions 2009
Number of pages: 55
Description:
This book reviews fundamental concepts underlying the use of concise models for signal processing. Topics are presented from a geometric perspective and include low-dimensional linear, sparse, and manifold-based signal models, approximation, compression, dimensionality reduction, and Compressed Sensing.
Download or read it online for free here:
Download link
(multiple formats)
Similar books
DSP: Designing for Optimal Results- Xilinx, Inc.
The book for DSP designers who want to tap the power of the Virtex-4 XtremeDSP Slice. It provides a description of the features of the slice as well as multiple examples that show you how to harness the power and flexibility of this IP block.
(15516 views)
The Scientist and Engineer's Guide to Digital Signal Processingby Steven W. Smith - California technical Publishing
Digital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century. The book presents the fundamentals of DSP using examples from common science and engineering problems.
(69051 views)
The Theory of Linear Predictionby P. Vaidyanathan - Morgan and Claypool Publishers
Linear prediction theory has had a profound impact in the field of digital signal processing. This book focuses on the theory of vector linear prediction and line spectral processes. There are several examples and computer-based demonstrations.
(17671 views)
Modern Signal Processingby Daniel N. Rockmore, Jr, Dennis M. Healy - Cambridge University Press
The book about the mathematical basis of signal processing and its many areas of application for graduate students. The text emphasizes current challenges, new techniques adapted to new technologies, and recent advances in algorithms and theory.
(20035 views)