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此为《MATLAB教程》的第九章：稀疏矩阵。该书内容翔实，深入浅出，不可多得。(This is the MATLAB Guide in Chapter IX: sparse matrix. Book is informative, easy, hard to come by.)

编写一个matlab函数用一个N点离散傅里叶变换同时计算两个N点实序列的离散傅里 叶变换，并将结果与直接使用两个N点离散傅里叶变换计算出来的结果进行比较(Write a matlab function with an N point discrete Fourier transform and calculate actual sequence of two N point discrete Fourier transform, and the results with the direct use of two N point Discrete Fourier Transform calculated results are compared)

非常适合初学者的的matlab通信原理入门书，很多学校都用这个做教材！(Matlab Communication Theory Primer is ideal for beginners, many schools have done with this material!)

HHT变换之END分解程序，以及详细的例子--power system power quality disturbance(HHT and EMD and examples about power quality)

Matlab program for image negative and thresholding without using inbuilt functions in matlab...

说明：  matlab m语言编写的拼图游戏，对于学习matlab很有帮助(matlab m jigsaw puzzle languages, matlab helpful for learning)

This is a morpholog methods that process an image with (Dialion, Erosion, open , close ,,etc)

verry good program.you can try to run this

说明：  一个neural network的matlab源程序代码(a neural network to the source code Matlab)

DTW（Dynamic Time Warping，动态时间归整）算法，该算法基于动态规划（DP）的思想，解决了发音长短不一的模板匹配问题，是语音识别中出现较早、较为经典的一种算法。用于孤立词识别，DTW算法与HMM算法在训练阶段需要提供大量的语音数据，通过反复计算才能得到模型参数，而DTW算法的训练中几乎不需要额外的计算。所以在孤立词语音识别中，DTW算法仍然得到广泛的应用。 (DTW (Dynamic Time Warping, dynamic time warping) algorithm based on dynamic programming (DP) ideas, sounds of varying lengths to solve the template matching problem, is speech recognition appeared earlier, more classic kind of algorithm. For isolated word recognition, DTW algorithm and HMM algorithm in the training phase need to provide a large number of voice data, obtained by repeated calculations to model parameters, while the DTW algorithm is almost no additional training calculations. Therefore, in isolated word speech recognition, DTW algorithm is still widely used.)