GA-in-Matlab

A tutorial for beginners in matlab

说明：  压缩包里包含了无约束优化问题常用的几种求解方法的源程序：变量轮换法（variable_rotation.m）、最速下降法（steepest_descent.m）、修正牛顿法（modified_newton.m）、共轭梯度法（conjugate_gradient.m）。另外，coefficient_matrix.m为目标函数系数获得矩阵，minval.m为最小值计算函数，gradient.m为梯度计算函数(Compression bag contains unconstrained optimization problems of several commonly used method of source: variable rotation Act (variable_rotation.m), steepest descent method (steepest_descent.m), as amended Newton (modified_newton.m), conjugate gradient method (conjugate_gradient.m). In addition, coefficient_matrix.m as the objective function coefficients obtained matrix, minval.m function for the minimum calculation, gradient.m for gradient calculation function)

另一种数字信号调制识别方式，没有给出正确率(Another digital signal modulation recognition methods, did not give the correct rate)

This source code gives an idea about how to plot PAPR vs CCDF which is an important paramenter for evalution of the schemes of PAPR reduction

给原始的语音信号加上一个高频余弦噪声，频率为5kHz。画出加噪后的语音信号时域和频谱图(To the original speech signal and the last high frequency cosine noise, frequency of 5kHz. Speech signal time domain and frequency spectrum and noise after the draw)

数据聚类和模式识别MATLAB工具箱，完整的程序集(Data clustering and pattern recognition MATLAB toolbox, complete assembly)

说明：  Stewart平台是典型的并联机器人的代表，相比于串联机器人来说，其多链式闭环的结构让并联机器人的运动学求解变得复杂。该程序内有Stewart平台研究的一整套程序，包括：运动学逆解、正解、工作空间和动力学的matlab程序，可以减少你的工作量。(Stewart platform is a typical representative of parallel robot. Compared with serial robot, its multi chain closed-loop structure makes the kinematics solution of parallel robot more complex. The program contains a complete set of Stewart platform research procedures, including: inverse kinematics, forward kinematics, workspace and dynamics matlab program, can reduce your workload.)

典型潜艇水下辐射噪声空间分布特性测试与分析技术研究(Typical submarine underwater radiated noise characteristics of the spatial distribution of test and analysis of technical studies)

matlab实现的广义预测控制算法 可供参考(matlab implementation of generalized predictive control algorithm for reference)

读入一段语音，进行基音检测，最后实现对这段语音的共振峰检测。(Read in a speech, pitch detection, and finally to achieve this period of speech resonance peak detection.)