functional-tools-in-matlab

说明：  模型降阶方法 MATLAB schur方法(Using matlab to program the control system )

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.

基于matlab的电力系统潮流计算程序设计（牛拉法）.doc是您毕业设计的第一选择(MATLABAbstract：Newton-Raphson technique is an efficient power flow algorithm．It use MATLAB language to design Newton-Raphson technique power algorithm，and passing calculation of an example in this paper to show correction of the designed program． Key words：Newton-Raphson technique，non-line square，power system)

beamforming of smart antena

This is a good demo of showing how the mean shift idea works for image pixel clustering

matlab实现软硬阈值函数的图像去噪，附带一张测试图片矩阵lenna.mat(matlab image denoising hard and soft threshold function, with a test image matrix lenna.mat)

说明：  信号过rayleigh信道并加均衡的程序(Over rayleigh channel signal and add a balanced program)

A musical refrain simulation in C language using 8253 programing.

modified 180 voltage souce inverter similar to p.s.bimbra circuit

Finite Element Method Boundary Element Method有限元法和边界元法(Finite Element Method Boundary Element Me thod finite element method and boundary element method)