Compressed sensing based on random symmetric Bernoulli matrix
Compressed sensing based on random symmetric Bernoulli matrix
The task of compressed sensing is to recover a sparse vector from a small number of linear and non-adaptive measurements, and the problem of finding a suitable measurement matrix is very important in this field. While most recent works focused on random matrices with entries drawn independently from certain probability …