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bksa
- 针对线性混合信号盲分离时,源信号概率密度与激活函数难以确定时(尤其是源信号中既含超高斯信号,又含亚高斯信号时),依据信号pdf的一种测度--峭度,自适应的确定激活函数,实现信号的盲分离,是一种基于峭度开关的盲分离算法。
PCMA
- 单通道PCMA信号的盲分离算法,包括主程序中BPSK信号源的产生源码及单路信号正交分解-Single-channel blind signal separation algorithm PCMA, including the main source of BPSK signals in the generation of single signal source and the orthogonal decomposition
jcwtlib-0.01.tar
- 独立成分分析(Independent Component Analysis, ICA)是近年来发展起来的一种有效的盲分离技术,最早是由法国学者Herault和Jutten于1986年提出。ICA方法的提出最初是用来解决“鸡尾酒会”问题,其过程可以归纳为,在源信号与传输通道参数均未知的情况下,仅根据源信号的统计特性,出现测信号恢复出源信号。ICA分析的关键在于根据一定的优化准则建立描述输出信号独立程度的优化判据,即目标函数,并设计相应的优化算法,寻求最优的分离矩阵,使得输出信号中各分量尽可能相互独
icabss
- 一种高效快速的线性混合新河盲分离ICA算法,提供了6个源信号以供参考,分离效果很好-An efficient linear mixed fast ICA algorithm for blind source separation New River, providing 6 source signal for reference, a good separation effect
ICA---EASI
- 盲信号语音分离的程序,基于独立分量的分离程序,若输入两个源信号,则可以输出一组混合信号和分离后的信号-Blind signal speech separation procedure, based on independent component separation procedure, enter the two source signals, the output signal after a group of mixed-signal and separation
H_Jica
- 用音频的ICA计算,可进行盲信号源的分离-Blind source separation using the ICA calculation of the audio
tffllexicah
- 这是实际环境中语音信号盲分离的最新程序源码代码,用于语音信号独立分量分分析ICA。解压后运行,输入录制的混合语音信号即可看到结果。 可直接使用。 -This is the program source code for blind separation of speech signals in the real environment for the voice signal of independent component analysis of the ICA. After decomp
ssdp
- 统计稀疏分解(SSDP)欠定盲分离MATLAB仿真程序。能在接收天线个数小于源信号个数时,仅仅利用观察信号恢复出源信号。-Statistics sparse decomposition (SSDP) underdetermined blind separation of MATLAB simulation program. In the number of receiving antennas is less than the number of source signals, using on
bss
- 该文件为matlab文件,功能是CIA算法的实现,使用自适应迭代的方法实现全盲信源的自动分离。-This is a matlab file, the function of the CIA algorithm using adaptive iteration method automatically blind source separation (BSS).
FastICA-algorithm
- 利用独立分量分析中的FastICA算法对盲信号源进行了分离。最终通过实验结果表明,独立分量分析可以有效地实现分离。-FastICA algorithm using independent component analysis and blind source separation. Eventually through the experimental results show that the independent component analysis can be effectively
Blind-Source
- 基于超平面 欠定盲分离源信号的混合矩阵的估计-underdetermined Blind Source Separation
fastICA_imag
- 基于独立成分分析混合图像盲分离 源码分享-Technology and Research mixed image separation by Independent Component Analysis
2014-03-19-Focuss算法
- 主要实现源信号盲分离,注释比较清楚,能够运行,对于初学者帮助较大(The main source of blind separation of the signal, the note is relatively clear, able to run, for beginners to help larger)