We consider massive multiple-input multiple-output (MIMO) systems in the presence of
Cauchy noise. First, we focus on the channel estimation problem. In the standard massive …

Detection and estimation of feeble signals in noise is of great importance in practice. In this
paper, we use the properties of eigen-space and eigen-spectrum of symmetric and Toeplitz …

Cauchy noise removal in multidimension visual data is a fundamental problem in image
processing and data science communities. Recently, this problem can be effectively solved …

Recently, weighted nuclear norm minimization (WNNM), which regularizes singular values
of an input matrix with different strengths according to given weights, has demonstrated …

The key role of spectrum sensing in cognitive radios attracted substantial research attention
to improve the performance of detectors. We consider a general model for the receiver noise …

An improved proportionate adaptive filter based on maximum correntropy criterion (IP-MCC)
is proposed for identifying systems with variable sparsity in an impulsive noise environment …

This letter presents an approach for the detection of moving point targets on high-frame-rate
image sequences with low spatial resolution and low SNR based on higher order statistical …

摘要针对电力线与无线双接口通信中的电力线突发脉冲噪声(BIN) 的干扰问题,
提出一种基于分集信号抵消和自适应阈值估计(DSC-ATE) 的BIN 抑制算法. 首先 …

This paper proposes a framework for the low-SNR moving point target detection based on
temporal profile analysis of high framerate image sequences (HFIF). The main idea is that a …

We devise a simple method for detecting signals of unknown form buried in any noise,
including heavy tailed. The method centers on signal-noise decomposition in rank and time …