speechdtwprotected

利用matlab实现的BP神经网络算法，对初学者很有用(matlab neural network to achieve the BP algorithm)

说明：  高校图象处理,里面的图画可以自己去找一张然后放到程序指定路径即可(college image processing, the picture inside themselves and they can then put a process can be designated trails)

c est un syeteme photovoltaique autonome L_wis@live.fr

This code is about OLA (overlap Addition method) of Digital Signal. First signal is converted into STFT and after that is recovered back to time domain signal using overlap Addition tecnique

多输入多输出的模型预测控制，针对化工多输入多输出系统设计的模型预测控制(Multiple-input multiple-output model predictive control)

是基于dct的matlab的程序设计，采用的是游程编码。(The matlab' s dct-based programming, uses a run-length encoding.)

AFDF协议MATLAB仿真，很不错的！！！(AFDF agreement MATLAB simulation, a very good)

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

采用锦标赛选择算子改进的遗传算法解决函数优化问题(Tournament selection operator using improved genetic algorithm to solve function optimization problems)

调用属性依赖度函数的程序。中间数据替换为自己要分析的数据即可。