EEMD

说明：  研究生时的现代信号处理作业，matlab编程，包括卡尔曼和维纳滤波(Graduate School at the time of operation of modern signal processing, matlab programming, including the Kalman and Wiener filtering)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

粒子群算法源代码,属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解。(Particle swarm algorithm source code, is a kind of evolutionary algorithm, and genetic algorithm are similar, it is also starting from the random solutions, through the iterative search for the optimal solution.)

说明：  介绍MATlAB的基本用法和编程技巧，是本学好MATLAB的优秀参考书。(MATlAB introduced the basic usage and programming skills, is an excellent reference book to learn MATLAB.)

转置，就是一个转置，没有别的东西，还要说点什么！！！！(Transpose thank you very much！！！)

雷达信号产生模拟器，包含一个简单的界面(a radar signal generation program with gui)

基于稀疏表示的高光谱图像分类的Fisher字典学习方法matlab代码(Hypersynthetic image classification based on sparse representation in Fisher dictionary learning matlab code.)

基于PCA的人脸特征抽取，首先将200幅人脸图像转换成向量形式，进而进行组成样本矩阵。(The PCA-based facial feature extraction, first 200 face images into a vector format, then the composition of the sample matrix.)

ZF-SIC、MMSE-SIC检测算法实现，及误码率对比，带检测信道的所有行最小二范数的函数(ZF-SIC, MMSE-SIC detection algorithm, and the error rate compared with all the lines to detect the smallest two-channel function norm)

很好很全的程序哦！jerk系统的多涡卷混沌仿真！(Very good and very full program! Multi scroll chaotic simulation of jerk system!)