APSO

说明：  我们知道，小波变换的一级分解过程是，原始信号分别进行低通、高通滤波，再分别进行二元下抽样，就得到低频、高频（也称为平均、细节）两部分系数；而多级分解则是对上一级分解得到的低频系数再进行小波分解，是一个递归过程。以下是一维小波分解的程序. (We know that a wavelet transform decomposition process is that the original signal were low-pass, high pass filter, and then carried out under the binary sample, we obtained low-frequency, high-frequency (also known as the average, details) coefficient of two parts and Multi-level decomposition is a decomposition of the previous low-frequency coefficients to be further wavelet decomposition is a recursive process. Following is a one-dimensional wavelet decomposition process.)

matlab code for face recognition

说明：  讲述基于QPSK调制在高斯，瑞利，CorrRayleigh信道下的误码分析。(About QPSK modulation in the Gaussian, Rayleigh, the CorrRayleigh channel bit error analysis.)

matlab用切比雪夫设计滤波器,并且分为两种不同类型设计方法(matlab using Chebyshev design of filters, and divided into two different types of design methods)

多参数规划工具箱用来计算约束线性及分段仿射系统控制器的最优显式解。(multi-parametric toolbox(MPT)is a matlab toolbox for computing explicit optimal orsub-optimal feedback control laws for constrained linear and piecewise affine systems. )

说明：  基于matlab线性幅度调制系统的仿真设计(Matlab linear amplitude modulation system based on the simulation design)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

barcode reader files for Matlab

searching file video using matlab and show them to TImage component

杜克大学Steve Cummer(左)和David Schurig(右)，利用COMSOL做的二维隐身