Introduction to Sparsity in Signal Processing

This is a tutorial on sparsity in signal processing.
Download the tutorial: sparse_SP_intro.pdf (pdf file)

This tutorial is also available on the Connexions website

Download the Matlab software: matlab_sparse_SP_intro.zip (zip file)

Download the presentation slides: slides (pdf file)

Matlab examples

• Sparse Fourier coefficients using BP
• Denoising using BPD
• Deconvolution using BPD
• Missing data estimation using BP
• Signal separation using dual BP (Example 1)
• Signal separation using dual BP (Example 2)

Example

Filtering a noisy speech waveform using basis pursuit denoising (BPD).

Acknowledgment

Support from NSF under Grant CCF-1018020 is gratefully acknowledged.

How to cite

This article can be cited as
I. Selesnick. Introduction to Sparsity in Signal Processing, Connexions Web site. http://cnx.org/content/m43545/, May 27, 2012.

Contact

Ivan Selesnick
Polytechnic Institute of New York University
Electrical and Computer Engineering
Brooklyn, New York, United States

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