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说明：  基于短时能量 短时过零率 自相关函数的语音清浊分类算法(Zero based on short-term rate of short-term energy autocorrelation function of speech voicing classification algorithm)

用于计算图像纹理特征的灰度共现矩阵。可计算水平，竖直，45，135度方向的共现矩阵。(Used to calculate the image texture gray co-occurrence matrix. Calculate the horizontal, vertical, 45,135 degrees direction co-occurrence matrices.)

说明：  MATLAB GUI设计学习手记（第二版）源程序\第10章\摇奖台编译文件(MATLAB GUI design learning Notes (second edition) source \ Chapter 10 \ 摇奖 Taiwan. Compiled file)

以实际所测随机中子脉冲数据的自相关函数为研究对象，借助仿真实验，开展Elman神经网络对不同浓度核材料进行识别的研究。在实测数据的基础上，通过叠加随机噪声，模拟产生了不同浓度核材料的相关函数样本用于神经网络的训练与测试，实验结果表明，(Calculating the stochastic neutron pulse autocorrelation function with the actually measured data as the research object, we carry out different simulate experiments in concentration identification of varied nuclear materials using Elman neural network. Superimposing random noise on the measured data, we get correlation function samples simulating the different concentrations of nuclear material for training and testing the neural network.)

I used the newpnn function to create a PNN, then used the sim function to classify the the training data set, which was used to create the neural network.

计算赫斯特指数Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.(Calculates the generalized Hurst exponent H(q) of a stochastic variable x(t) (a time series) the scaling of the renormalized q-moments of the distribution <|x(t+r)-x(t)|^q>/<x(t)^q> ~ r^[qH(q)] The value of H(q) give indication about the fractal nature of the signal. H(q) = 0.5 corresponds to a Brownian motion, deviations form 0.5 and dependency on q are indications of multi-fractality and time-correlations.)

采用PSO算法优化PID参数，通过调用simulink和PSO使得ITAE标准最小化(PID parameter optimization using PSO algorithm)

转载的MATLAB电子书,很适合初学者,内容精要,易学实用(reproduced in MATLAB e-books, are very suitable for beginners, as concise and easy to learn practical)

motion detctor code in a videooo

contourlet工具包，属于超小波分析里头的contourlet变换的m文件(contourlet kits are super wavelet analysis inside the contourlet transform m file)