Modal-based damage detection algorithms are well-known techniques for structural health
assessment, but they are not commonly used due to the lack of automated modal …

The underdetermined blind source separation (BSS), which based on sparse
representation, is discussed in this paper; moreover, some difficulties (or real assumptions) …

Convergence speed and steady-state source separation performance are crucial for enable
engineering applications of blind source separation methods. The modification of the loss …

A difficult blind source separation (BSS) issue dealing with an unknown and dynamic
number of sources is tackled in this study. In the past, the majority of BSS algorithms …

This paper focuses on blind source separation with an unknown number of sources, which is
the case generally assumed in most practical applications. Several over-determined neural …

Ce travail de recherche s' inscrit dans le contexte de la biométrie dont l'objectif est de
l'authentification d'une personne à partir de l'image de son visage. Les systèmes …

In this work, we address the problem of source separation of post-nonlinear mixtures based
on mutual information minimization. There are two main problems related to the training of …

针对欠定情况下源数的估计, 解混叠矩阵和源信号恢复关键技术, 提出一种源数未知的欠定盲源
分离算法, 首先利用S 变换和聚类技术相结合来估算源数和混叠矩阵, 然后将源信号以零空间 …

This chapter is focused on the methods for modal parameter estimation from previously
acquired and pretreated time histories of the structural response to ambient vibrations. The …

BLIND SPARSE SOURCE SEPARATION USING CLUSTER PARTICLE SWARM
OPTIMIZATION TECHNIQUE Chan-Cheng Liu, Tsung-Ying Sun, Kan-Yuan Li, Sheng-Ta Hsieh …