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说明：  mallat关于grouplet的文章，内容非常详细，并有相关仿真(mallat on grouplet article, very detailed and relevant simulation)

Implementation of Cyclostationary Feature Detector for Cognitive Radios

线性卷积和循环卷积的matlab生成，源程序为此(Linear convolution and circular convolution matlab generate, source code)

tabu search for vehicle routing problem

卷积情况下的盲分离,对于初学者非常有用。(Convolution case of separation, is very useful for beginners.)

使用MATLAB仿真ask信号，并画出眼图，使用窗函数对数据进行功率谱计算，并画图(Use the data window function power spectrum calculation, and drawing)

将一个512×512的lena.bmp图像进行DCT变换，对得到的DCT系数按8×8块进行分层（分三层），重组填充得到新的系数矩阵，结果发现原图像的能量集中在了新图像的左上角低频部分。(The lena.bmp an image of 512 × 512 is subjected to DCT transform, the DCT coefficients obtained by layering 8 × 8 block (of three), to obtain a new recombinant filling coefficient matrix, the energy of the original image is found concentrated in upper left corner of the low-frequency part of the new image.)

Mfcc 提取语音特征参数 可以分辨出不同情感(Mfcc speech feature extraction can distinguish between different emotions)

实现雷达线性调频信号的点目标回波产生、干扰信号与目标回波叠加并进行脉冲压缩处理(chirp signal,target echo and jamming signal generation and pulse compression)

主成分分析法将图像分为低秩部分和稀疏部分(Principal Component Analysis (PCA) divides images into low rank and sparse parts)