V2I5001016

时间计算器，输出时间的年月日，及两个事件的差值(Time Calculator)

灰度共生矩阵的产生，一个程序能够将一个矩阵让其生成对应的灰度共生矩阵(Gray level co-occurrence matrix, a program can be a matrix to generate the corresponding gray level co-occurrence matrix)

用AR模型对脑电信号特性进行提取，用的是matlab进行编程(AR model with the extracted EEG features, with the matlab programming)

Parametric Frequency response Function (FRF) in MATLAB

matlab中所有函数解析_太全了 真的很全(all matlab function parses the _ is too full of really)

comprative study of dc dc converters

说明：  所传文件是有matlab编写的鲍威尔法，在优化设计中，有较大的作用！(The transfer document is written in matlab Powell method, the optimal design, have a greater role!)

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

matlab 语言，《先进pid控制matlab仿真》光盘源码(matlab code，《Advanced Matlab PID control similution》DVD original code.)

finds the shortest path