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数字信号处理用的快速傅里叶变化，可提供分段，复盖（Overlap)，时程图，频谱图。(digital signal processing using Fast Fourier changes, can provide sub-covering (Overlap) time- and frequency spectrum.)

matlab基础入门教学书籍,初学者入门级别教材。(matlab introductory instructional books, beginner-level textbooks.)

PCA降维实例，使用数据集，数据集衡量美国329个城市生活质量的9个指标：气候、住房、健康、犯罪率、交通、教育、艺术、娱乐和经济。对于各指标，越高表示越好，如高的犯罪指标表示低的犯罪率。(PCA dimensionality reduction example uses data sets and data sets to measure 9 indicators of quality of life in 329 cities: climate, housing, health, crime rate, transportation, education, art, entertainment and economy. For each index, the higher the better, as the high crime indicator indicates a low rate of crime.)

OTSU Gray-level image segmentation using Otsu s method. Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern. 9:62-66 1979). Thresholds are computed to maximize a separability criterion of the resultant classes in gray levels. OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the corresponding Iseg is therefore a binary image. The pixel values for Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ... [Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability criterion within the range [0 1]. Zero is obtained only with images having less than n gray level, whereas one (optimal value) is obtained only with n-valued images.

Matlab 批量读写txt文件，打开文件夹里面所有的txt文件 然后进行运算 保存为其他格式的文件， 如dat 已调试，能够运行(Matlab batch literacy txt file, open the folder inside all the txt file and then save operation documents to other formats, such as dat has been debugged, to run)

这是一个关于全局的人工鱼群算法的例子，适合初学者学习。(This is an example of global AFSA, for beginners to learn.)

完整的ofdm，lmmse 算法 zf算法各种调制(ofdm simulink )

The signal some times should be smoothed in planned way before submitting it to environment where now widely used algorithm is LMS

用MATLAB的GUI设计的一个计算器程序，可在次基础上形成更复杂的算法，并学习GUI的设计技巧！(Using MATLAB)

separation nonlineaire de source par iteration