This paper addresses the problem of sparsity penalized least squares for applications in
sparse signal processing, eg, sparse deconvolution. This paper aims to induce sparsity …

去噪是小波分析的一个重要应用领域, 相对于其它方法, 小波变换具有对信号时频局部性详细
刻画的优势. 在信号的去噪处理过程中, 如何在削弱噪声的同时又最大限度的保留信号的奇异性 …

Radiation-induced acoustics (RIA) shows promise in advancing radiological imaging and
radiotherapy dosimetry methods. However, RIA signals often require extensive averaging to …

Background A novel artefact removal algorithm is proposed for a self-paced hybrid brain-
computer interface (BCI) system. This hybrid system combines a self-paced BCI with an eye …

In this paper, we present a new wavelet shrinkage operator to remove noise for non-linear
time series. Like other improvements, the proposed operator is used to address the …

In this paper we proposed a new method for noise removal in wavelet domain. In this
method we developed a thresholding neural network (TNN) by using a new type of smooth …

This paper presents image de-noising in wavelet domain utilizing optimization algorithm
combined with thresholding function. In this study, we utilized the nature inspired …

This paper first provides statistical properties of wavelet operators when the observation
model can be seen as the product of a deterministic piecewise regular function (signal) and …

The paper deals with a new method of thresholding especially for machine vision systems.
This new method is based on creating dynamic background for machine vision tasks. The …