Logo

Concise Signal Models by Michael Wakin

Small book cover: Concise Signal Models

Concise Signal Models
by

Publisher: Connexions
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.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: An Exploration of Random Processes for EngineersAn Exploration of Random Processes for Engineers
by - University of Illinois at Urbana-Champaign
These notes were written for a graduate course on random processes. Students are assumed to have had a previous course in probability, some familiarity with real analysis and linear algebra, and some familiarity with complex analysis.
(12829 views)
Book cover: An Introduction to Statistical Signal ProcessingAn Introduction to Statistical Signal Processing
by - Cambridge University Press
The book covers basic probability, random objects, expectation, second order moment theory with examples of the random process models and their basic properties, specific applications for communication, estimation, detection, modulation.
(22249 views)
Book cover: Physical Audio Signal ProcessingPhysical Audio Signal Processing
by - DSPRelated.com
This book was developed for a course entitled 'Signal Processing Methods in Musical Acoustics'. The text was created primarily as a research preparation and dissemination vehicle intended for graduate students in computer music and engineering.
(14182 views)
Book cover: Statistical Spectral Analysis: A Non-Probabilistic TheoryStatistical Spectral Analysis: A Non-Probabilistic Theory
by - Prentice Hall
This book is intended to serve as both a graduate-level textbook and a technical reference. The focus is on fundamental concepts, analytical techniques, and basic empirical methods. The only prerequisite is an introductory course on Fourier analysis.
(6971 views)