Compressed Sensing Performance of Random Bernoulli Matrices with High Compression Ratio

• Published in: IEEE signal processing letters Vol. 22; no. 8; pp. 1074 - 1078
• Main Authors: Weizhi Lu, Weiyu Li, Kpalma, Kidiyo, Ronsin, Joseph
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Bernoulli distribution; Compressed; Compressed sensing; Compression ratio; Correlation; Detection; Electronic mail; Engineering Sciences; Estimation; high dimension; Materials; Powder injection molding; random matrix; Sensors; Signal and Image processing; Signal processing; Sparse matrices; random matrix; Bernoulli distribution; compressed sensing; high dimension; compression ratio

This letter studies the sensing performance of random Bernoulli matrices with column size n much larger than row size m. It is observed that as the compression ratio n/m increases, this kind of matrices tends to present a performance floor regarding the guaranteed signal sparsity. The performance fl...