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FASTICA - Fast Independent Component Analysis
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％ FastICA for Matlab 7.x and 6.x
％ Version 2.5, October 19 2005
％ Copyright (c) Hugo G鋠ert, Jarmo Hurri, Jaakko S鋜el� and Aapo Hyv鋜inen.
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％ FASTICA(mixedsig) estimates the independent
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有关快速定点独立分量分离的Matlab源程序，
有很详细的说明，对于研究FastICA很有价值，-Independent component of the fast fixed-point Matlab source separation, had a very detailed descr iption of FastICA valuable for research,
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基于ICA的独立分量分析，目标函数是负熵，快速不动点算法-ICA-based independent component analysis, the objective function is negative entropy, fast fixed-point algorithm
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基于最大似然估计的独立分量分析算法，包括随机梯度算法，相对梯度算法，快速不动点算法3个程序-Based on maximum likelihood estimation of independent component analysis algorithms, including stochastic gradient algorithm, the relative gradient algorithm, fast fixed-point algorithm for three programs
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先在matlab上做一个数字滤波器，将b、a的值经过定点化以后移植到ccs中，在ccs中实现，并比较滤波效果！-To make a digital filter in matlab, first to b, a value through fixed-point after transplantation into the CCS, implementation in the CCS, and compare the filtering effect!
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用matlab将滤波器的浮点型系数转换为二进制定点型-Use matlab to convert the floating-point coefficients of the filter to binary fixed-point type
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