matlab

dynamic time warp Matlab speech recognition source code DTW (dynamic time consolidation), the Speech Recognition Research counterparts can be downloaded

说明：  matlab仿真与建模的电子书，英文版，需要一定的英文基础(matlab simulation and modeling of e-books, take some basic English)

matlab计算一种图形颗粒识别参数，该参数是通过小波分解的能量参数来定义的(matlab computing a graphical particle identification parameter, which is defined by the parameters of wavelet decomposition energy)

使用MATLAB解决了VRP问题 代码简单易懂(Use MATLAB to solve the VRP straightforward code)

HISTNORM Histogram normalized [...] = HISTNORM(...) works like HIST, but the frequency is normalized so that area sum is 1. Bonus usage! [...] = HISTNORM(..., plot ) plots and returns the output arguments. Be sure plot is the last argument. Example: data = randn (10000, 1) [xo,no] = histnorm(data, 101, plot ) hold on plot (no, normpdf(no), r ) hold off See also: HIST.

This is System identification toolbox user guide. enjoy it )

I,Q通道的 噪声过程是高斯的的,而且是互不相关的,他的功率谱也是白的. 因为I和Q通道的噪声过程是高斯的,而且是互不相关的 我们可以得到他们是相互独立(Papoulis,1984). 最后,由于I和Q通道是独立的零均值高斯过程,因此可以推导出:复信号:I+jQ,幅度是瑞丽分布的,幅度的平放是指数分布的,相位角arctan(Q/I)是在(0,2π]上均匀分布(I Q Gaussian noise)

说明：  一份初学MATLAB_gui者比较好的实例代码；来自《精通MATLAB GUI》，其中例子丰富实用，程序代码丰富。(A novice compared MATLAB_gui good examples of code from &quot proficient in MATLAB GUI&quot , in which the rich examples of practical, code-rich.)

在传统声压传感器阵列的求根MUSIC算法的基础上,提出了基于矢量传感器阵列的求根MUSIC算法及其修正形式,通过接收阵列信号的空间谱,选择合适的引导方位,可实现声源的波达方向(Based on root MUSIC algorithm on the traditional pressure sensor array, the root MUSIC algorithm for vector sensor array and its modified form based on, through the receiving array signal spatial spectrum, select the appropriate lead angle, direction of arrival can realize the sound source)

适合初学者从入门到精通matlab编程所用，带有十三个部分的源代码，层层递进，个人感觉不错！(Suitable for beginners matlab programming from entry to the proficient use, with thirteen parts of the source code, progressive layers, personal feeling good!)