turbo_matlab

this is a matlab GUI developed to record speech of the user in various languages. this GUI contains various user interfaces that help to store the recorded word to a wav file. also the recorded signal will be plot in the axes window.

aam matlab gui 工具包，功能很强大(aam matlab gui toolkit, very powerful)

改进的leach协议算法，包含leach、leach-c、SEP等(The improved algorithm leach agreement, including leach, leach-c, SEP, etc )

自适应滤波仿真程序源代码,加澡声,绝对有效(Adaptive filter simulation program source code, plus shower sound, to be effective)

DTM dor digital terrain model for gis

Simulink简明教程，快速入门，建模方法，运行仿真等(Simulink simple tutorial)

运用传输矩阵法计算一维光子晶体带隙单缺陷仿真(use TTM calculating the single defect of 1D PC)

SNR plot in rayleigh channel with maximal ratio combining technique for MIMO

LTSA[19] is based on the intuition that when a manifold is correctly unfolded, all of the tangent hyperplanes to the manifold will become aligned. It begins by computing the k-nearest neighbors of every point. It computes the tangent space at every point by computing the d-first principal components in each local neighborhood. It then optimizes to find an embedding that aligns the tangent spaces.

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)