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mri_toolbox是一个工具用来MRI. 来自于SourceForge, 我上传这个软件,希望能结识对医疗软件感兴趣的兄弟.(mri_toolbox is toolbox for mri.This is from the sourceforge I want to share this those who are interested in medical software.)

这个呢是用来做人脸识别的，非常简练，而且注释清晰。(FACE RECONGNITION)

压缩感知的信号恢复算法集合，包括ISD_v1.1，l1magic-1.1和sparsify_0_5(Compressed sensing signal recovery algorithms collections, including ISD_v1.1, l1magic-1.1 and sparsify_0_5)

目标因子分析,用于找主因子数，由例子能清晰明了的理解(Target factor analysis, the number of factors used to find the Lord, by the example of clarity of understanding can)

特别好用的图像分类算法！！！输入图像 输出分类结果(A particularly useful algorithm for image classification!!! Input image output classification results)

广义最小二乘辨识的matlab实现，运行通过(Generalized Least Squares Identification realize matlab, run through)

基因遗传算法中的一元函数的优化举例，供广大初学之人黏贴使用(Genetic algorithm optimization of unary function example, for the majority of beginners person adhesive used)

soft code regarding image processing

一个简化的单边带电台仿真。采用MATLAB编写程序。(A simplified single-sideband radio simulation. Using MATLAB programming.)

最新、最全“高阶谱分析工具箱”，包括全部教程和DEMO.(There is much more information in a stochastic non-Gaussian or deterministic signal than is conveyed by its autocorrelation and power spectrum. Higher-order spectra which are defined in terms of the higher-order moments or cumulants of a signal, contain this additional information. The Higher-Order Spectral Analysis (HOSA) Toolbox provides comprehensive higher-order spectral analysis capabilities for signal processing applications. The toolbox is an excellent resource for the advanced researcher and the practicing engineer, as well as the novice student who wants to learn about concepts and algorithms in statistical signal processing. The HOSA Toolbox is a collection of M-files that implement a variety of advanced signal processing algorithms for the estimation of cross- and auto-cumulants (including correlations), spectra and olyspectra,bispectrum, and bicoherence, and omputation of time-frequency distributions. Based on these, algorithms for parametric and non-parametric blin)