搜索资源列表
FastICA_25
- 独立分量分析的算法，用于分离出独立分量，用于图像降维，特征提取-Independent component analysis algorithms, used to separate out the independent component for the image dimensionality reduction, feature extraction
BSS_FastICA_matlab
- 用于盲信号分离的独立分量分析和主元分量分解以及独立分量分解的代码-For Blind Signal Separation of independent component analysis and principal component decomposition and independent component decomposition of the code
signal_seg
- 利用独立分量分析方法对三个信号进行分离，入门学习-The use of independent component analysis method to separate the three signals, Introduction to learning
feipca
- 非线性PCA算法matlab程序段，完成独立分量分析的主分量分解-Non-linear PCA algorithm matlab program segment, the completion of independent component analysis of the principal component decomposition
ica2
- 基于峭度极大的一种独立分量分析的算法，内有详细介绍每一步程序的作用和意义-Based on Kurtosis of a great independent component analysis algorithms, with detailed procedures for every step of the role and significance of
corran
- 基于独立分量分析方法的实际分析应用，在图像处理中的新颖性很有实际价值-One-way repeated measures ANOVA is used to analyze the relationship between the independent variable and dependent variable. It is an extension of the correlated-groups t test, where th
ICA
- 完整的独立分量分析(ICA)程序包,可以用来进行盲源分离-An ICA program group which can be used to separate signals.
cardoso_introBSS
- 基于独立分量分析的有关盲信号处理的国外权威经典论文-Independent component analysis based on blind signal processing of the foreign authority of classic papers
dwt2
- 本文提出了一种基于独立分量分析的音频数字水印方法。嵌入水印时,对原始音频文件进行一级小波分解,在分解 得到的逼近分量中利用随机混合方法嵌入水印后进行小波逆变换形成嵌入水印的音频文件。仿真实验结果表明这种方 法的强鲁棒性和可行性。-Abstract:Audio p roduction is one of the important digital multimedias, which transmit becomes more a
fastica
- 用matlab实现的最大化负熵的独立分量分析方法，作了正交化处理，可以同时分离出所有的独立分量（无噪声条件下）-Using matlab to achieve the maximization of the negentropy method of independent component analysis, orthogonal made of processing, can be isolated from all of the
109201268icaML
- 独立分量分析的matla b源代码。可用于盲信号处理和信号分离等等。-Independent Component Analysis matla b source code. Can be used in signal processing and blind signal separation and so on.
MIMO_OFDM
- 本文在研究了MIMO-OFDM系统以及独立分量分析的基础之上提出了一种适用用于MIMO-OFDM系统的盲多用户检测方法，基本思想是将现有的ICA算法应用到MIMO-OFDM系统中对多用户进行信号恢复。-MIMO_OFDM multiuser detection
FASTICA
- 独立分量分析 方法 压缩 与 解压 图像。 MATLAB 实现，有测试平台。-Independent Component Analysis image compression and decompression. MATLAB realization of a test platform.
FusionAlgorithmofMultiResolutionRemoteSense
- 基于独立分量分析的多分辨率遥感图像融合算法-Fusion Algorithm of Multi-Resolution Remote Sense Images Based on ICA
ICA
- 基于负熵最大的独立分量分析算法，可以将独立的混合信号分离-Based on the negative entropy of the largest independent component analysis algorithm can be a separate mixed-signal separation
arithmetic_FastICA
- Matlab环境下的基于独立分量分析（ICA）算法，信号处理，非常重要！--Matlab environment based on the independent component analysis (ICA) algorithm, signal disposal , very important!
vbICA1_0.tar
- 该程序为变分贝叶斯独立分量分析算法，可以在强噪声环境下实现混合信号的盲分离，而且效果很好。-This code is the vbICA algirithm, which can separate the mixed signals in strong noisy environment, and the result better than other algorithms.
fastICA
- FastICA固定点算法软件包，包括原始图像数据和相应的MATLAB程序，是独立分量分析（ICA)学习者难得的宝贵学习资源-FastICA
ICA
- 独立分量分析是20世纪末发展起来的一类多通道信号分解方法，是信号处理技术发展中的一项前沿热点。這些論文介绍预备知识。供从事信号处理的科技工作者自学或进修选用。... -Independent component analysis is developed in the late 20th century a class of multi-channel signal decomposition method is signal proc
ica
- 可以分离语音的独立分量分析程序 可以实现瞬时和卷积混合的分离 相当好用-ica_f.m bsepf2 is the main program and it needs correlation.m decorrelation.m permutation.m sepfilter.m. You also need to visit ftp://sig.enst.fr/pub/jfc/Algo/Joi