Electroencephalogram (EEG) plays an important role in identifying brain activity and
behavior. However, the recorded electrical activity always be contaminated with artifacts and …

It is well known that time-frequency analysis (TFA) characterises signals in time-frequency
plane. Theoretically, traditional non-parameterised TFA can analyze any signal, but it is …

Atomic decomposition can represent arbitrary signals in an overcomplete dictionary sparsely
and adaptively, and it can match the local structure of signals very well. Therefore, it …

The objective of this study was to develop an integrated process monitoring approach for
evaluating powder blending process kinetics and determining blending process end-point. A …

Terahertz (THz) spectroscopy and chemometric analysis of resultant absorption spectra in
the 30–500 cm− 1 range has been applied to perform quantitative determination of both …

In recent years several wavelet thresholding schemes for denoising have been proposed.
However, thresholding rules depend heavily on the choice of the parameters. Wavelet …

Due to its various advantages, Raman spectroscopy has become a powerful tool in different
fields of science and engineering; however, in specific applications, this technique's limiting …

核匹配追踪算法在生成函数字典的过程中常采用贪婪算法进行全局最优搜索,
导致算法学习时间过长. 该文针对这一缺陷, 提出一种基于近邻传播(Affinity Propagation, AP) …

In this paper, we propose an analytical low‐level representation of images, obtained by a
decomposition process, namely the matching pursuit (MP) algorithm, as a new way of …

特征提取是机械设备状态监测和故障诊断过程中最基本, 最关键的一部分,
针对现有各种提取方法的不同缺点, 提出一种自适应信号分解技术来实现旋转机械振动信号的 …