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An Introduction to Compressive Sensing (col11133)
Subject: Mathematics and Statistics, Science and Technology
Language: English
Popularity: 83.58%
Revised: 2011-04-02
Revisions: 5
Bayesian methods (m37359)
Keywords: Bayesian methods, Belief propagation, Error correcting codes, Relevance vector machine, Sparse Bayesian learning
Summary: This module provides an overview of the application of Bayesian methods to compressive sensing and sparse recovery.
Subject: Mathematics and Statistics
Language: English
Popularity: 44.97%
Revised: 2011-04-15
Revisions: 4
Combinatorial algorithms (m37295)
Keywords: Combinatorial algorithms, Count-median, Count-min, Data streams, Group testing, Sketching, Sparse recovery
Summary: This module introduces the count-min and count-median sketches as representative examples of combinatorial algorithms for sparse recovery.
Subject: Science and Technology
Language: English
Popularity: 27.97%
Revised: 2011-04-15
Revisions: 3
Greedy algorithms (m37294)
Keywords: CoSaMP, Greedy algorithms, Matching pursuit, Orthogonal matching pursuit, Stagewise orthogonal matching pursuit
Summary: In this module we provide an overview of some of the most common greedy algorithms and their application to the problem of sparse recovery.
Subject: Mathematics and Statistics
Language: English
Popularity: 46.59%
Revised: 2011-05-23
Revisions: 4
Introduction to compressive sensing (m37172)
Keywords: Compressibility, Compressive sensing, Nonlinear approximation, Sensing, Signal acquisition, Sparse recovery, Sparsity, Transform coding
Summary: Introduction to compressive sensing. This course introduces the basic concepts in compressive sensing. We overview the concepts of sparsity, compressibility, and transform coding. We then review applications of sparsity in several signal processing problems such as sparse recovery, model selection, data coding, and error correction. We overview the key results ... sensor networks.
Subject: Mathematics and Statistics
Language: English
Popularity: 71.71%
Revised: 2011-04-10
Revisions: 7
Sparse recovery algorithms (m37292)
Keywords: Sparse recovery algorithms
Summary: This module introduces some of the tradeoffs involved in the design of sparse recovery algorithms.
Subject: Mathematics and Statistics
Language: English
Popularity: 38.62%
Revised: 2011-04-15
Revisions: 3
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Total Modules: 21811