filter

说明：  用MATLAB实现语音信号的lpc分析，比较经典。(Voice signals using MATLAB lpc analysis and comparison of the classic.)

遗传算法matlab代码，经过检测无错，希望对大家有用(Genetic algorithm matlab code, error detection)

基于博弈论的无线电频谱分配MATLAB程序，运用了纳什均衡(Based on the game theory of radio spectrum allocation MATLAB program, the use of Nash equilibrium)

说明：  动作的表面肌电信号进行频谱分析和功率谱估计，计算 肌电信号的时域和频域参数，根据结果分析讨论肌肉工作状态程序源码，在matlab软件测试成功(The spectrum analysis and power spectrum estimation of the surface electromyogram signal of the action are carried out, and the time domain and frequency domain parameters of the electromyogram signal are calculated. According to the results, the program source code of the muscle working state is discussed and tested successfully in MATLAB software.)

几种数字滤波器，如矩形窗带通数字滤波器，海明窗高通数字滤波器(Several digital filter, such as the rectangular window of band-pass digital filter, Hamming window of high-pass digital filter)

说明：  SGA（Simple Genetic Algorithm）是一种强大的智能多变量优化算法，它模仿种群繁殖规律来进行优化。本SGA可以优化变量，求最小值,最大值（当把函数倒数也就求最小值） 并且支持浮点编码，grey编码，二进制编码；轮赌法选择，锦标赛选择；单点交叉，均布交叉，浮点交叉；单点变异，浮点变异；调用时Genetic（目标函数名） 使用SGA时，首先需要一个目标函数（像AimFunc.m），该函数返回适应度输入变量为待优化变量x输出为一个适应度。然后修改Genetic.m中可以修改的地方(SGA (Simple Genetic Algorithm) is a powerful smart multi-variable optimization algorithm, which mimics the reproduction of law to be optimized. The SGA can be optimized variables, minimum, maximum, (when the function will last for the minimum) and supports the floating-point encoding, grey code, binary code round of betting method selection, tournament selection single-point crossover, uniform crossover , floating-point crossover single point mutation, floating-point mutation called Genetic (objective function name) the use of SGA, first of all need an objective function (like AimFunc.m), the fitness function returns the input variables to be optimized for the output variable x a fitness. Can be modified and then modify the place Genetic.m)

Delta-sigma toolbox for Matlab/simulink

DS-CDMA通信系统的MATLAB源程序(DS-CDMA communication system MATLAB)

说明：  这个是KPCA核主成分分析的代码，好用，里面也带有范例(This is the KPCA kernel principal component analysis code, which is easy to use and also contains examples.)

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.