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
Kalman Filter Recent Advances and Applicationsby Victor M. Moreno, Alberto Pigazo - INTECH
An overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book covers recent advances in Kalman filtering theory and applications in electrical engineering and other areas.
(15858 views)
Digital Filters and Signal Processingby F.P.G. Marquez, N. Zaman (ed.) - InTech
Digital filters, together with signal processing, are being employed in the new technologies and information systems, and implemented in different areas and applications. This book presents advanced developments, covering different cases studies.
(9910 views)
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.
(19409 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.
(15179 views)