NeuralNetwork_BP_Regression

高级优化算法 粒子群优化算法(求解无约束优化问题) PSO(基本粒子群算法)(Advanced Optimization Algorithm Particle swarm optimization (unconstrained problem) PSO (Particle Swarm Optimization))

蒙特卡罗算法方法的课件，自己看了感觉还行，请一起分享(Monte Carlo algorithm method courseware, their own feel good read, please share)

这个程序用matlab演示扩频及其频谱。(Matlab demo using this procedure and its Spread the spectrum.)

this code implementation chirpaftermatchedfilter

一种波达方向估计的CAPON方法。波束形成就是从传感器阵列重构源信号。(The Capon method for direction of arrival estimation.)

对用refprop调用实际物性对布雷顿循环进行仿真计算(The simulation calculation of Brayton cycle by using RefProp to call actual physical properties)

Hi This mfile is source code for image segementation using active contour models [Snake]. It found the objects in imaages.

fourier descriptors in matlab

说明：  matlab的boiler_process函数，在应用libsvm中必不可少(The boiler_process matlab function, essential in the application libsvm)

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.