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floyd算法的matlab实现，最短路问题的一种解法(floyd algorithm of the Matlab implementation, the shortest path to a solution of the problem)

粒子滤波的基础代码，适合初学者学习的借鉴，容易明白(Foreign website, it is practical, easy to study)

基于802.16e协议的垂直切换建模与仿真，讲的非常详细，基于NS-2平台的。(802.16e protocol vertical handoff model and simulation)

This simple module calculate the RMS value of an input signal (also measured)by using the deffined equation in the IEC norm

2013年全国大学生数学建模本科组B题：采用Matlab软件编程，程序易理解，类似C(2013 National Undergraduate Students' Mathematical Modeling Group B title: using Matlab software programming, the program is easy to understand, similar to the C)

对一段语音进行加窗处理，在matlab下查看经过加窗处理后的语音信号。(For a voice to add Windows processing, on matlab check after add window under process after the speech signal)

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

rt block for matlab with source

一个标准PCA的学习实例，通过matlab可运行，希望对大家有所帮助(A standard PCA learning instance, through matlab to run, we want to help)

这6个程序可用于0—9的数字识别，算法包括：基于类中心的欧式距离法、马氏距离法、夹角余弦距离法 、二值化的夹角余弦距离法、二值化的Tanimoto测度法和增量校正算法，均为基于matlab软件编写的程序。学会了这几个算法，可以在这些程序的基础上进行扩展，对三维模型识别算法的编程有一定的帮助。(6 program can be used 0-9 digit recognition, algorithms include: class center Euclidean distance, Mahalanobis distance method, the cosine of the angle distance method, the cosine of the angle distance method binarization, binary of Tanimoto Measure Method and incremental correction algorithms are written based on matlab software program. Learned these algorithms can be extended on the basis of these procedures, programming algorithm of the three-dimensional model to identify some help.)