
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.
(21474 views)
Fourier Transform: Signal Processing and Physical Sciencesby Salih Mohammed Salih (ed.) - InTech
The book covers fast hybrid recursive FT based on Jacket matrix, acquisition algorithm for global navigation system, determining the sensitivity of output parameters based on FFT, convergence of integrals based on Riemann-Lebesgue Lemma function, ...
(9269 views)
Think DSP: Digital Signal Processing in Pythonby Allen B. Downey - Green Tea Press
'Think DSP: Digital Signal Processing in Python' is an introduction to signal processing and system analysis using a computational approach. The premise of this book is that if you know how to program, you can use that skill to learn other things.
(14850 views)
Statistical Spectral Analysis: A Non-Probabilistic Theoryby William A. Gardner - 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.
(11649 views)