glcm-founder

利用MATLAB提取相关系数，按照matlab的滤波思路进行编写的IIR滤波程序，已经证明好用！(MATLAB is utilized to extract the correlation coefficient, according to the writing of IIR filter MATLAB filtering ideas for program, it has been proved useful!)

(1)设计低通、带通、高通数字滤波器； (2)可以对合成信号(含低频、中频、高频分量)、语音信号进行滤波； (3)通过GUI界面进行控制。((1) design low pass, band pass, high pass digital filter (2) can be synthesized signal (including the low frequency, medium frequency, high frequency components), filtered speech signal (3) is controlled through the GUI.)

信号与信息处理——阵列信号处理DOA估计的matlab算法，这是线性调频信号的稀疏分解算法，wigner_will分布(Signal and information processing- array signal processing matlab algorithm for DOA estimation, which is a linear FM signal sparse decomposition algorithm, wigner_will distribution)

说明：  matlab中的关于代数方程组的解法实验方面的例子和程序(matlab in the solution of algebraic equations in terms of examples and experimental procedures)

SMI方向图和性能(波束形成算法，自己修改） 优点： 收敛速度快 缺点：1 当阵元输出含有较强的期望信时，或者期望信号与干扰信号相关时，性能急剧下降.2 由于权向量含有方向矢量，因此对阵列的幅相差非常敏感；3 ,期望信号的功率不能过大，比干扰信号相差几十dB，也就是说，在小期望信号、大干扰信号情况下，也可进行SMI处理。 (SMI pattern and performance (beamforming algorithm, make changes to) Advantages: fast convergence Disadvantages: 1 output when the array elements with strong expectations of the letter, or related to the desired signal and interference signals, the performance sharply .2 direction vector containing the weight vector, so the array is very sensitive to the amplitude difference 3, the desired signal The power can not be too large, than the difference between the scores of interference signal dB, that is, in the small desired signal, large signal interference case, SMI can also be handled. )

随机振动的功率谱分析，其中的程序对于理解随机振动非常有帮助，希望大家下载学习(Random vibration is very useful,this file is help for the random vibration.)

滑模变结构的M 文件，可以用于想学习滑模变结构的学习(Sliding Mode M-files can be used to want to learn sliding mode of learning)

solving job shop scheduling problem with setup times by Tabu Search Algorithm

不完全微分PID算法Matlab仿真程序。适用于控制理论领域。(Incomplete differential PID algorithm Matlab simulation program. Applicable to the field of control theory.)

Face Detection CPU and GPU Performance Comparison