11 papers
Mixed Noise Removal with Pareto Prior
Zhou Liu, Lei Yu, Gui-Song Xia +1
Denoising images contaminated by the mixture of additive white Gaussian noise (AWGN) and impulse noise (IN) is an essential but challenging problem. The presence of impulsive distu…
A Dual Sparse Decomposition Method for Image Denoising
Hong Sun, Chen-guang Liu, Cheng-wei Sang
This article addresses the image denoising problem in the situations of strong noise. We propose a dual sparse decomposition method. This method makes a sub-dictionary decompositio…
Sar image despeckling based on nonlocal similarity sparse decomposition
Chengwei Sang, Hong Sun, Quisong Xia
This letter presents a method of synthetic aperture radar (SAR) image despeckling aimed to preserve the detail information while suppressing speckle noise. This method combines the…
Sparse Signal Subspace Decomposition Based on Adaptive Over-complete Dictionary
Hong Sun, Chengwei Sang, Didier Le Ruyet
This paper proposes a subspace decomposition method based on an over-complete dictionary in sparse representation, called "Sparse Signal Subspace Decomposition" (or 3SD) method. Th…
Frequency Estimation of Multiple Sinusoids with Three Sub-Nyquist Channels
Shan Huang, Haijian Zhang, Hong Sun +2
Frequency estimation of multiple sinusoids is significant in both theory and application. In some application scenarios, only sub-Nyquist samples are available to estimate the freq…
Line Spectral Estimation Based on Compressed Sensing with Deterministic Sub-Nyquist Sampling
Shan Huang, Hong Sun, Haijian Zhang +1
As an alternative to the traditional sampling theory, compressed sensing allows acquiring much smaller amount of data, still estimating the spectra of frequency-sparse signals accu…
Frequency Estimation of Multiple Sinusoids with Sub-Nyquist Sampling Sequences
Shan Huang, Hong Sun, Haijian Zhang +1
In some applications of frequency estimation, the frequencies of multiple sinusoids are required to be estimated from sub-Nyquist sampling sequences. In this paper, we propose a no…
Principal Basis Analysis in Sparse Representation
Hong Sun, Cheng-Wei Sang, Chen-Guang Liu
This article introduces a new signal analysis method, which can be interpreted as a principal component analysis in sparse decomposition of the signal. The method, called principal…
A Class of Deterministic Sensing Matrices and Their Application in Harmonic Detection
Shan Huang, Hong Sun, Lei Yu +1
In this paper, a class of deterministic sensing matrices are constructed by selecting rows from Fourier matrices. These matrices have better performance in sparse recovery than ran…
An algorithm of frequency estimation for multi-channel coprime sampling
Shan Huang, Haijian Zhang, Hong Sun +1
In some applications of frequency estimation, it is challenging to sample at as high as the Nyquist rate due to hardware limitations. An effective solution is to use multiple sub-N…
Joint Frequency Estimation with Two Sub-Nyquist Sampling Sequences
Shan Huang, Hong Sun, Lei Yu +1
In many applications of frequency estimation, the frequencies of the signals are so high that the data sampled at Nyquist rate are hard to acquire due to hardware limitation. In th…