matlab

加窗程序，包含了各种分析窗，经过调试已经通过！(Windowed program, including a variety of analysis window, after debugging has passed!)

Addison Wesley : Software Engineering and Computer Games

truetime 安装包及其说明，作为matlab的工具箱，用来处理网络问题(TrueTime installation package and basic introduction, as the Matlab toolbox, used for real-time simulation network)

牛顿欧拉递推算法——机器人动力学算法，使用matlab语言描述逆向动力学算法。(Newton-Euler recursive algorithm- Robot dynamics algorithms, the use of language to describe the reverse dynamics matlab algorithm.)

这里文档包含了雷达和红外组合后的跟踪程序，代码非常详细，可供初学者使用(Here the document contains the following combination of radar and infrared tracking program, the code is very detailed for beginners)

说明：  一个用于求解方程的MATLAB遗传算法。并能够保持收敛。(MATLAB for solving equations of a genetic algorithm. And to maintain convergence.)

M序列发生器函数，使用m文件实现，2至7级寄存器，主要分为两个部分。第一部分主要负责输入，输出，第二部分是M序列发生函数(M sequence generator function, 2-7 registers, divided into two parts. The first part is mainly responsible for the input, output, and the second part is the sequence generating function M)

Multi-threshold selection according to Otsu s method

这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时，首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女，然后再逐一与已知性别的数据比较，就可以得到错误率的统计。然后改变先验概率，重复上面的过程，观察数据结果的变化。 用最小风险贝叶斯分类器决策时，首先求出用最小错误率贝叶斯分类器得到的条件概率；然后根据人为给定的决策表，根据公式算出条件风险；然后逐一比较条件风险，找出使条件风险最小的决策（也就是分类）。最后用分类得到的结果逐一比较已经知道的原始数据，统计处错误率。 (This is the height and weight data for gender classification experiment. With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data . Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate . )

语音识别预处理matlab实现，包括端点检测，预加重，加窗(Speech recognition pre matlab implementation, including endpoint detection, pre-emphasis, windowing)