main

数字语音信号处理端点检测MATLAB仿真(Endpoint detection digital signal processing MATLAB simulation )

说明：  这是matlab编写的三个程序的代码以及最后结果，是综合实验时做的(This is three programs written in matlab code and the final result is to do comprehensive experiments)

层次分析法，建立层次结构模型是十分关键的一步。现给出一些判断矩阵（方案层判断矩阵和转一层判断矩阵），编程以实现权值的计算和一致性检验(AHP, hierarchy model is a very critical step. Now given judgment matrix (matrix and turn the program layer to determine a layer of judgment matrix), and programming in order to achieve the calculation of the weights and the consistency test)

算24点的程序,Matlab下使用,比赛主办方提供的参考资料,完全可以使用.(Count 24 point program, Matlab is used, the game organizers to provide reference materials can be used.)

自校正广义预测控制，通过自动辨识模型参数得到理想曲线(selfturning gpc matlab program)

用matlab实现的moorer混响源代码(Reverb with moorer matlab source code that implements)

This script illustrates the fading in gmsk under nakagami distribution.A reference paper is also included.

matlab开发环境下的详细的模糊控制算法的讲解与实例，通过了仿真的实例(Detailed matlab fuzzy control algorithm development environment and examples to explain, through the simulation)

该特征提取算法是从超声图像感兴趣区域提取的纹理特征，基于小波变换的。(this features was abstacted from the ultrsound images which is based on the DWT.)

免疫粒子群混合优化算法整定PID，该方法将免疫算法中的基于浓度的抗体繁殖策略 与粒子群优化算法相结合。对浓度低的粒子进行促进，对浓度高的粒子进行抑制，因而保持了粒子的多样性，克服了PSO 算法易于陷入局部最优点的缺点，寻优速度快。(PID paramaters optimization by AIPSO)