Description: ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction. Platform: |
Size: 563873 |
Author:陈互 |
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Description: ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction. Platform: |
Size: 563200 |
Author:陈互 |
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Description: 两路语音信号混合及解混的基于自然梯度的极大似然算法MATLAB仿真程序-Two-way voice signals mixed and mixed solution of the natural gradient-based maximum likelihood algorithm of the MATLAB simulation program Platform: |
Size: 1024 |
Author:若轲 |
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Description: 递推的极大似然估计算法求解系统辨识问题，输入为M序列，噪声影响可调-The recursive maximum likelihood estimation algorithm for system identification problem Platform: |
Size: 2048 |
Author:王硕 |
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Description: 该算法包含极大似然估计的梯度算法和快速ica算法，已经调试成功过，调试时注意所给信号x是行向量还是列向量-The algorithm contains the maximum likelihood estimation of the gradient method and fast ica algorithm, has been debugged, debugging attention given signal x is a row vector or column vector Platform: |
Size: 3072 |
Author:高丽 |
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Description: We derive an asymptotic Newton algorithm for Quasi-Maximum
Likelihood estimation of the ICA mixture model, using the ordinary
gradient and Hessian. The probabilistic mixture framework yields an
algorithm that can accommodate non-stationary environments and
arbitrary source densities. We prove asymptotic stability when the
sources models mixture match the true sources. An example application
to EEG segmentation is given Platform: |
Size: 494592 |
Author:msreddy |
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Description: 包括随机梯度算法，相对梯度算法，最大似然（ML）准则和最大后验概率（MAP）准则，抑制载波型差分相位调制，可以实现模式识别领域的数据的分类及回归，ICA（主分量分析）算法和程序，DC-DC部分采用定功率单环控制，一个很有用的程序，是国外的成品模型。- Including stochastic gradient algorithm, the relative gradient algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Suppressed carrier type differential phase modulation, You can achieve data classification and regression pattern recognition, ICA (Principal Component Analysis) algorithm and procedures, DC-DC power single-part set-loop control, A very useful program, Foreign model is finished. Platform: |
Size: 6144 |
Author:fetcwfkwp |
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Description: 对HARQ系统的吞吐量分析，是路径规划的实用方法，FMCW调频连续波雷达的测距测角，基于互功率谱的时延估计，ICA（主分量分析）算法和程序，有信道编码，调制，信道估计等，最大似然（ML）准则和最大后验概率（MAP）准则。- HARQ throughput analysis of the system, Is a practical method of path planning, FMCW frequency modulated continuous wave radar range and angular measurements, Based on the time delay estimation of power spectrum, ICA (Principal Component Analysis) algorithm and procedures, Channel coding, modulation, channel estimation, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion. Platform: |
Size: 6144 |
Author:sbzhqr |
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Description: 时间序列数据分析中的梅林变换工具，最大似然（ML）准则和最大后验概率（MAP）准则，ICA（主分量分析）算法和程序。- Time series data analysis Mellin transform tool, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, ICA (Principal Component Analysis) algorithm and procedures. Platform: |
Size: 6144 |
Author:姚风利 |
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Search - Maximum likelihood ICA