Simulation results show that the proposed SW blind channel separation algorithm is of high separation precision and stronger anti-noise-interference ability.
仿真试验表明，该分离算法能对短波盲信道进行有效分离，具有分离精度高，抗噪声干扰能力强的优点。
However using the characteristic of satellite channel this paper put forwards the blind separation algorithm based on maximum entropy which can deduce the calculation too much.
该文利用卫星信道的特点，提出了基于最大熵的盲分离算法，极大地减小了计算量。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
Simulation results show that the proposed blind channel algorithm is of high separation precision, high right separation rate and stronger anti-noise-interference ability.
仿真结果表明，本文所提出的短波盲信道快速分析算法的分离精度和信道正确分离率都较高、抗噪声干扰能力强。
This project has completed several research works on array-signal blind separation and blind channel equalization under support of NSFC.
本项目在国家自然科学基金的支持下，在阵列信号盲分离及信道均衡方面进行了多个方面的研究工作。
Blind source separation (BSS) aims to extract independent signals from their linear mixtures captured by a number of sensors without knowing the channel information.
线性混叠盲源分离是指观测信号由源信号经线性混合得到，现阶段盲源分离的大多数研究集中于线性混叠模式。
Blind source separation (BSS) aims to extract independent signals from their linear mixtures captured by a number of sensors without knowing the channel information.
线性混叠盲源分离是指观测信号由源信号经线性混合得到，现阶段盲源分离的大多数研究集中于线性混叠模式。
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