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 files (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 described on this Connexions page.

Contact

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

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