root-locus-analysis

说明：  利用AMDF法求语音信号的基音周期（结果为时频图）(Pitch detection by AMDF algorithm)

Monte Carlo方法的实质是通过大量随机试验，利用概率论解决问题的一种数值方法，基本思想是基于概率和体积间的相似性。它和Simulation有细微区别。单独的Simulation只是模拟一些随机的运动，其结果是不确定的；Monte Carlo在计算的中间过程中出现的数是随机的，但是它要解决的问题的结果却是确定的。(The essence of the Monte Carlo method is a numerical method to solve the problem through a large number of randomized trials, the use of probability theory, the basic idea is based on the similarity between the probability and volume. There are subtle differences between it and Simulation. Separate the Simulation simulation of random movement, the result is uncertain number of the Monte Carlo calculations in the middle of the process is random, but it is to solve the problem the result is determined.)

comparison between three types of equalizers: zfl and mmse and viterbi

向量化的遗传快速遗传算法，是M.Mutchell 的遗传算法书中 10，11 业的经典快速算法(SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language. Without bells and whistles, it faithfully implements the specification for a Simple GA given on pgs 10, 11 of M. Mitchell s GA book. See comments in code for details.)

SimEvents® extends Simulink® with tools for discrete-event simulation of the transactions between components in a system architecture. You can use the architecture model to analyze performance characteristics such as end-to-end latencies, throughput, and packet loss. SimEvents can also be used to simulate a process, such as a mission plan or a manufacturing process, to determine resource requirements or identify bottlenecks.

描述了两种弹载被动测距算法的matlab仿真程序(Describe two missile-borne passive ranging algorithm matlab simulation program)

此段程序可以将seg2数据转换为TSPwin处理的数据。(This section of the program can be converted into data TSPwin seg2 data processing.)

This Matlab source code is for paper LEACHC for wireless sensor networks.

QAM 正交频率调制，调制及解调全部代码，由MATLAB实现整个通信系统。(QAM orthogonal frequency modulation, modulation and demodulation of all the code from MATLAB entire communication system.)

GMM工具箱第一部分。包含了GMM算法的各个函数，对GMM建模很有帮助.(GMM first part of the toolbox. GMM algorithm contains all functions of GMM modeling helpful.)