Sparse signal recovery - PowerPoint PPT Presentation

Sparse Recovery Using Sparse (Random) Matrices

Sparse Recovery Using Sparse (Random) Matrices. Piotr Indyk MIT. Joint work with: Radu Berinde, Anna Gilbert, Howard Karloff, Martin Strauss and Milan Ruzic. Ax. A. =. x. x. x*. k=2. Linear Compression (a.k.a. linear sketching, compressed sensing). Setup:

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542 views • 21 slides

Distilled Sensing: Selective Sampling for Sparse Signal Recovery

Distilled Sensing: Selective Sampling for Sparse Signal Recovery. by. Jarvis Haupt, Rui Castro, and Robert Nowak. (International Conference on Artificial Intelligence and Statistics, 2009). Presented by Lihan He ECE, Duke University April 16, 2009. Outline. Introduction

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167 views • 14 slides

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