stochastic-resonance

source code for Stereo matching algorithm

用matlab做的有关边缘检测的一个代码，该代码可以进行多种的边缘检测(Using matlab to do the edge detection of a code that can be a variety of edge detection of)

说明：  神经网络的数字识别程序。神经网络的数字识别程序(Neural networks in digital identification procedures. Neural networks in digital identification procedures)

为减小感应电机转动惯量对机械特性的影响 ,基于最小二乘法 ,引入开关控制器 ,构建了一种新 型的最小二乘参数辨识器 (To reduce the infl uence tha t the vari ai on of the inertiato the mechani cal characteristics of induction moto r , a new identifier based on the Recursive L eat Square salgorithm is propo s ed . )

Advanced correlation filter synthesis algorithms to achieve rotation invariance are described. We use a specified form for the filter as the rotation invariance constraint and derive a general closed-form solution for a multiclass rotation-invariant filter that can recognize a number of different objects. By requiring the filter to minimize the average correlation plane energy, we produce a multiclass rotation invariant (RI) RI-MACE filter, which controls correlation plane sidelobes and improves discrimination against false targets. To improve noise performance, we require the filter to minimize a weighted sum of correlation plane signal and noise energy. Initial test results of all filters are provided

KPCA原始程序，可用于故障诊断，并附有T2和SPE诊断图(KPCA original program can be used for fault diagnosis, together with the T2 and SPE diagnostic diagram)

This code is about designing of synthetics seismic data.

说明：  生命游戏置乱算法的MATLAB实现，用于置乱图像(life game Scrambling algorithm in MATLAB for image Scrambling)

Windowed Fourier transform for fringe pattern analysis (with GUI) (• Run WFT in MATLAB environment. All processed data are automatically saved in result.mat 4. File list o wft2fw.m: the basic WFT algorithm. o unwrapping_qg_trim.m: quality guided phase unwrapping o WFT.m+WFT.fig: WFT overall interface o WFTKernel.m+WFTKernel.fig: interface for WFT parameter selection o imwritescale: to save data into image o readme.docx: this file. • 5. Notice Though wft2fw.m has been used by us for some years, the GUI was developed quite recently. The purpose is to make it easier to be used. Please feedback bugs to mkmqian@yahoo.com.sg. For more information, please refer to www.ntu.edu.sg/home/mkmqian. )

Simulation of constant modulus algorithm for smart antennas