搜索资源列表
FastICA_2.2
- fast fixed-point ICA算法的Matlab实现-fast fixed-point algorithms ICA Matlab
语音处理工具
- 很好的语音处理工具,包括wav文件的读写,时域等,自己编的,望指正-good voice processing tools, including wav file read and write, time domain, by myself, looking correction
cfastica
- Fast ICA，一种ICA的快速算法，有完整的论文（两种格式，pdf和ps的）-Fast ICA, the ICA a fast algorithm, a complete paper (both formats, pdf and ps)
FastICA_2.4
- 一种基于独立分量分析的改进算法． 可用于瞬时混合的盲分离．-based on independent component analysis algorithm improvements. For transient mixed Blind separation.
FastICA_2.3
- 快速ICA算法源码，有兴趣的读者可以转换成C-fast algorithm source, interested readers will be converted into C
FastICA25
- 快速ICA算法，在盲源分离中有很大的用处。-fast algorithm, the blind source separation is very useful.
FastICA2.5
- 运用固定点算法实现快速的独立成分分析，实现代码为matlab-use of the fixed-point algorithms to achieve rapid Independent Component Analysis, to achieve code-Matlab
fasticag
- 人脸识别中的matlab算法，人脸前期处理，希望对大家有用-of Matlab face recognition algorithm, face pre-processing, it may be useful to hope
ab_fastICA
- 一种用ICA实现特征提取的matlab程序，很有用的哦-ICA achieving Matlab feature extraction process, a very useful oh
FastICAforMatlab
- 完整fast ICA算法程序，大家可以借鉴使用-integrity fast algorithm ICA procedures, we can learn from the use of
FastICA_2.5
- 可用于进行独立分量分析的matlab源码,可用来进行特征提取等-can be used to conduct an independent analysis of the Matlab component source code, which can be used for feature extraction, etc.
icatoolbox
- 独立主成分分析的工具箱，是模式识别，成分分析，线性判别的重要手段。-independent Principal Component Analysis Toolbox, pattern recognition, component analysis and linear discriminant an important means.
Informax_FastICA
- 用matlab实现扩展Informax算法和固定点算法Fast ICA，可对混合后信号进行独立分量分离-Informax with matlab algorithms and realize the expansion of fixed-point algorithm Fast ICA, can be mixed signals, independent component separation
FastICA_2.3forMatlab6.x
- 用Matlab6.x实现的快速独立分量分析算法-With Matlab6.x realize the fast independent component analysis algorithm
fastICA_1.1-8.tar
- FAST ICA，快速ICA算法, windows下的matlab程序-FAST ICA, Fast ICA algorithm, windows procedures under matlab
FastICA_2.5
- FAST ICA 算法用于ICA实验，可用于人脸识别等领域-FAST ICA algorithm for ICA experiments, can be used in areas such as face recognition
FastICA_25
- FastICA_25工具箱。这样描述就可以了-Toolbox FastICA_25. This descr iption can be a
FastICA_25
- 实现两路信号的分离，效果还不错。在matlab上验证通过。-Realize the separation of the two signals, the effect was not bad. Tested through in matlab.
FastICA_23
- 遥感影像处理，可以用于盲源信号分离，快速高效的独立成分分析方法-Remote sensing image processing, can be used for blind source separation, rapid and efficient method of independent component analysis
FastICA_25
- 经典的独立成分分析算法(Fast算法)，适合独立成分分析的初学者，GUI界面简单明了-Classical independent component analysis algorithm (Fast Algorithm), suitable for beginners of independent component analysis, GUI interface simple and clear