科研之友
微信
新浪微博
Facebook
分享链接
摘要
When the signal in a transform domain is sparse or compressible, it could be projected to low-dimensional vector utilizing measurement matrix. This projection maintains the information required by reconstructing signal. By research about the basic theories for compressed sensing, this article adopted FFT and DWT as the transform matrix Φ respectively, the random matrix as the sampling ψ, then analyzed the coherence among them in addition to the sparsity of the sampling signals, explored further the ability of the two methods for recovering signals.
- 出版日期2012
- 单位西南大学
