We demonstrate the utility of machine learning in the separation of superimposed chaotic
signals using a technique called reservoir computing. We assume no knowledge of the …

In this work, with the mixing fractions being known in advance or unknown, the schemes and
theories for the separations of two groups of the mixed optical chaotic signals are proposed …

Recognition methods for fiber-optic vibration signals are widely used in abnormal monitoring
of oil lines, optical cables, railways, etc. However, existing methods are incapable of aliasing …

Blind source separation technique separates mixed signals blindly without any information
on the mixing system. In this paper, we have used two evolutionary algorithms, genetic …

Blind source separation (BSS) technique plays an important role in many areas of signal
processing. A BSS technique separates the mixed signals blindly without information about …

The goal of source separation is to detect and extract the individual signals present in a
mixture. Its application to sound signals and, in particular, to music signals, is of interest for …

混沌信号所固有的非周期, 宽带频谱和对初值极度敏感等特性使得对这类信号进行盲分离极为
困难. 针对这一问题, 提出一种新的盲分离方法, 该方法通过相空间重构来构造代价函数 …

A wide range of signs are acquired from the human body called biomedical signs or
biosignals, and they can be at the cell level, organ level, or sub-atomic level …

Signal separation has many applications in different fields, such as biology. In real-world
applications, sometimes, the combined signals are not independent, and their separation is …

Stroke is a complex heterogeneous disorder that occurs due to the interaction between
environmental and genetic risk factors [1, 2]. It is one of the main important causes of …