8

上传的源代码为《精通matlab GUI设计》的源代码(From the source code as " proficient in matlab GUI design" of the source code)

用viterbi算法和baum-welch训练找到和更新best path(find best path using Viterbi algorithm and Baum-Welch training)

说明：  噪声中的非平稳信号的频谱分析的matlab代码(Matlab code for spectrum analysis of non-stationary signals in noise)

应用经典prony法和AR参数建模进行模态参数识别(Prony method and the application of the classical AR modeling parameters for modal parameter identification)

利用MATLAB编程实现遗传算法，并结合一维多峰值函数对算法性能进行了测试，在MATLAB环境中采用遗传算法有效地解决了求解函数的优化问题，仿真结果验证了该算法的有效性，图像直观，性能优越，为遗传算法的实际应用开辟了新的途径和渠道。(Genetic algorithms using MATLAB programming, combined with a function Victoria Peak performance of the algorithm was tested in the MATLAB environment using genetic algorithms to effectively solve the problem of solving function optimization, simulation results verify the effectiveness of the algorithm, the image visually superior performance, the practical application of genetic algorithms has opened up new avenues and channels.)

本模型是根据国外一篇期刊论文的思想搭建起来的二极管钳位三电平逆变器的异步电机直接转矩控制的仿真模型，比较很精确(This model is based on a journal paper abroad thought to build up a diode clamped three-level inverter direct torque control of induction motor, a simulation model of comparison is very accurate)

function [x, hist] = secant(x, f, tola, tolr) SECANT This a secant code with no line search. This code terminates on small relative-absolute errors function [X, HIST] = SECANT(X, F, TOLA, TOLR) Inputs: X = initial iterate F = function TOLA = absolute error tolerance TOLR = relative error tolerance Output: X = approximate result

基于穷举法实现的LDPC码的校验H矩阵的自动生成程序，并且有一定的去小环的功能。如果最后的结果趋缓结果不理想，可以适当加大变量GENE的初始值，它表明程序穷举的次数，预置为500次。(Method Based on the exhaustive LDPC check matrix H automatic generation procedures, and to a certain small part of the function. If the final results of the slowdown in the outcome is unsatisfactory, it may be appropriate variables LCRA increase on the initial value It shows that the number of procedures exhaustive, preset to 500.)

灰色预测模型,可以做变形监测预测分析，交通控制和预测分析，金融分析(Gray prediction model, deformation monitoring can do predictive analysis, traffic control, and predictive analysis, financial analysis)

经验模态分解是热门的方法，这个文档有很能直观的说明EMD的原理！希望能帮助更多人！(Empirical mode decomposition method is popular, this document can have a intuitive show the principle of EMD. Hope to help more people！ )