dc_series_motor

说明：  典型的实验函数,可以用来测试算法的性能!(Typical experimental function, can be used to test algorithm performance!)

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.)

经典的利用小波模极大值的方法实现信号去噪的程序 保存格式为TXT.开发环境是MATLAB(classic wavelet modulus maxima of the signal denoising procedures for the preservation TXT format. Development Environment MATLAB is)

信号经过两个独立的信道传输，两个信道的信道复增益分别为 和 。 是独立同分布的复高斯随机变量，实部虚部独立、均值为0，实部虚部的方差都是1。采用某分集技术后输出的信噪比为 ，其中 是常数， 是在 之间均匀分布的随机变量。请就不同的 、 ，用仿真的方法画出 的累积分布函数。(signal after two independent Channel Tunnel, Channel 2 Channel Minute respectively, and gain. Independence is the same complex Gaussian distribution of random variables, is the imaginary part of the Department of independence, mean 0 and the real part of the imaginary part is a variance. Using a diversity of the output signal-to-noise, which is constant, is the uniform distribution between random variables. Please different, and simulation methods paint the cumulative distribution function.)

二维pca源程序,用于人脸图像识别的一种新技术，较于PCA更有效地方法(2DPCA)

采用matlab解微分方程，讲解比较详细，值得看看(Using matlab for solving differential equations, to explain in more detail, is worth a look)

A test script indicating how to find the appropriate frequency spectrum of a time dependant signal using Matlab. An associated function is also included.

基于强化学习的CSPS生产线优化设计，matlab源代码(Optimal design based on reinforcement learning the CSPS production line)

filter for image de-noising

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