文件名称:RobustICA and Oscma
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收集了Zarzoso相关的最优步长算法和RobustICA。最优步长算法(os-cma)基于有效的算法迭代技术,RobustICA基于归一化峰度对比功能,这是通过计算有效的迭代技术的优化。其中包含了原始的论文可以参考。(The optimal step-size constant modulus algorithm (OS-CMA) is based on a computationally efficient iterative technique to minimize the CM cost function. This technique computes algebraically the step size (adaption coefficient) globally minimizing the CM contrast in the search direction at each iteration.
RobustICA is based on the normalized kurtosis contrast function, which is optimized by a computationally efficient iterative technique.)
RobustICA is based on the normalized kurtosis contrast function, which is optimized by a computationally efficient iterative technique.)
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下载文件列表
oscma_package_v1.zip
robustica_package_v3.zip
Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast with Algebraic Optimal Step Size.pdf
robustica_package_v3.zip
Robust Independent Component Analysis by Iterative Maximization of the Kurtosis Contrast with Algebraic Optimal Step Size.pdf