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
The Fourier Transform and its Applicationsby Brad Osgood - Stanford University
This text is appropriate for science and engineering students. Topics include: Periodicity and Fourier series; The Fourier transform and its basic properties; Convolution and its applications; Distributions and their Fourier transforms; etc.
(18482 views)
Elements of Signal Detection and Estimationby Carl W. Helstrom - Prentice Hall
This is an introduction to signal-detection theory, a subject fundamental to the design of detectors of weak signals in the presence of random noise, and to the design of optimal receivers of communication, radar, sonar and optical signals.
(14437 views)
Principles of Computerized Tomographic Imagingby Avinash C. Kak, Malcolm Slaney - IEEE Press
A comprehensive, tutorial-style introduction to the algorithms for reconstructing cross-sectional images from projection data and contains a complete overview of the engineering and signal processing algorithms necessary for tomographic imaging.
(22945 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.
(15598 views)