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对于混沌系统用户信息方法求得时间延迟系数(DelayTime_MutualInformation)

说明：  rake接收机matlab实现 完成相关接受的信道相关估计算法(rake receiver matlab achieve complete acceptance of the relevant channel estimation algorithm)

这是一份有关matlab中文教材程序代码，希望通过此文件可以使大家更好的学习matlab。(This is a Chinese teaching materials about matlab code, hope that through this file can make everyone better learning matlab)

MATLAB5.3 exciting programming and advanced applications

本算法程序基于实测汽轮机振动信号进行了测试及性能分析。理论分析及仿真结果表明，AR模型谱估计算法在阶次合适的情况下，能够取得较好的方差及分辨力性能，适合于振动信号的功率谱估计，且AIC准则为确定合理的模型阶次提供了有效依据。(This algorithm based on the measured turbine vibration signal testing and performance analysis. Theoretical analysis and simulation results show that, AR model spectrum estimation algorithm in appropriate circumstances the order, the variance can achieve better performance and resolution, suitable for vibration signal power spectrum estimation, and the AIC criterion to determine a reasonable model order provides an effective basis.)

读取语音信号（用matlab的wavread指令），把语音信号分帧、加窗，进行清浊分割，提取基 频，这一部分较简单，自己编程序做。参考文献自己到图书馆期刊网上查找。 提取语音信号的lpc参数，可调用lpcfit.m 程序（我提供，见附件），将源、目标语音的浊音 段的lpc系数进行DTW规整，调用pathita2.m 程序（我提供，见附件）。将规整得到的lpc系数 转换成lsp参数，调用lpcar2ls.m 程序（我提供，见附件）， 再进行转换映射，调用matlab 的指令newrbe。(read the speech signal (using Matlab wavread Directive), Voice Signal frames, Windowed, Qingzhuo segmentation, extracting fundamental frequency, this part is relatively simple, they programmed to do. References their online journals to the library search. Voice Signal Extraction lpc parameters can be called lpcfit.m (I provide, see Annex), the source, Voiced objective voice of the lpc coefficient DTW structured, Call pathita2.m (I provide, see Annex). Structured to the lpc lsp conversion coefficient parameters, calling lpcar2ls.m (I offer see Annex), the shift mapping, called the directive newrbe Matlab.)

【书名】 MATLAB 7.0从入门到精通 【作者】 求是科技编著 【版次】 【出版社】 人民邮电出版社 【出版日期】 2006 ([title] MATLAB 7.0 proficient from the portal to the author [of technology] for [produced] [edition of the publication groups-- People's Posts & Telecommunications Publishing House published date [2006])

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主成分分析的代码，数据处理的必备，方便实用！！(Principal component analysis of the code, the data processing required, convenient and practical! !)

matlab7.X程序开发以及matlab编程学习(matlab7.X program development and learning matlab programming)