Deterministic Filter Design Based on Convolution Compression Perception
This paper presents a kind of convolution deterministic sequence structure under compression perception filter, compared with the traditional random convolution, the coefficient is given by discrete Fourier transform which has good autocorrelation by features determine the sequence. It proves that the filter of deterministic sequence structure not only sparse signal can be effectively used in time domain, frequency domain and the discrete cosine domain and can be applied to the sparse signal.
NETL
NSTL
万方数据
维普
