Advanced Search
Volume 28 Issue 12
Aug.  2010
Turn off MathJax
Article Contents
Wan Jian, Li Ming, Zhu Zhong-liang. Blind Separation of Satellite Signals Based on the Maximum Entropy[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2256-2258.
Citation: Wan Jian, Li Ming, Zhu Zhong-liang. Blind Separation of Satellite Signals Based on the Maximum Entropy[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2256-2258.

Blind Separation of Satellite Signals Based on the Maximum Entropy

  • Received Date: 2005-03-24
  • Rev Recd Date: 2005-09-19
  • Publish Date: 2006-12-19
  • The problem that this paper discusses is how to separate the origin signals from the mixed satellite signals. The traditional method to solve the kind of problem adopts the algorithm of blind convolution which needs much account to adjust the all pathway parameters. 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.The results of simulations testify the validity .
  • loading
  • Jutten C, Herault J. Blind separation of source , An adaptive algorithm based on neuromimetic architecture[J].Signal Processing.1991, 24(1):1-29[2]Common P. Independent component analysis: a new concept? Signal Processing, 1994, 36(3): 287-314.[3]Amari S. Natural gradient works efficient in learning[J].Neural Computation.1998, 10:251-276[4]谭丽丽, 韦岗. 多输入多输出盲解卷问题的最大熵化法. 电子学报, 2000 , 28(1): 114-116.[5]Bell A J, Sejnowski T J. An information-maximization approach to blind separation and blind deconvolution[J].Neural Computation.1995, 7:1129-1159[6]Cardoso J F, Laheld. B H. Equivariant adaptive source separation[J]. IEEE Trans. on Signal Processing, 1996, 43(12): 3017-3030.[7]Aapo Hyvarinen. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans. on Neural Networks , 1999 , 10(3): 626-634.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2225) PDF downloads(758) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return