.png){kind=icon}
返回
A novel technique for blind source separation using bees colony algorithm and efficient cost functions
.png){kind=icon}
PRE
AI
DOI：10.1016/j.swevo.2013.08.002.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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 mixing system. This paper proposes a novel BSS technique using the bees colony algorithm (BCA) in order to achieve the de-mixing system. Cost function is one the important modules for operation of the BCA. So, we have investigated different types of the cost function. These cost functions are based on the balanced combination of two important paradigms, i.e., higher order statistics and information theory. Experimental results show the proposed technique has high separation accuracy, robustness against the local minima, high degree of flexibility and high speed of convergence in noisy and noiseless environments. (C) 2013 Elsevier B.V. All rights reserved.
Keyword:
Blind signal separation
Bees colony algorithm
Cost function
Higher order statistics
Information theory
期刊
IF:
8.5
论文数:
2.2K
被引数:
1.0W
机构
引用论文
Evaluation of Blind Source Separation for different algorithms based on second order statistics and different spatial configurations of directional microphones.png)
APPLIED ACOUSTICS
APPLIED ACOUSTICSIF3.6
PREAI
分享收藏Blind partial separation of underdetermined convolutive mixtures of complex sources based on differential normalized kurtosisNEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏分享收藏Blind source separation of chaotic laser signals by independent component analysisOPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
OAAI分享收藏Transmission electron microscope observation of lattice image of AlxGa1−xAs-AlyGa1−yAs superlattices with high contrast高对比度下AlxGa1−xAs-AlyGa1−yAs超晶格的晶格图像的透射电子显微镜观察
PREAI
分享收藏
没有更多内容
没有更多内容