pro_ssim_index.mat

knn-K近邻法实现两分类的函数代码，输入为两类的样本特征，和待测试的样本向量，输出为分类结果。(knn-K nearest neighbor method to achieve the two categories of function code, enter the characteristics of two types of samples, and samples to be tested vector, the output for the classification.)

针对噪声，用AR2建模，用卡尔曼滤波，并用Allan方差检验(against noise, using AR2 modeling, Kalman filtering, and with Allan variance test)

用matlab写的时频分析工具箱，对数学建模，信号处理有很大的帮助(Using matlab toolbox written in time-frequency analysis, mathematical modeling, signal processing, very helpful)

利用MATLAB实现了卷积码编码和维特比译码的整个过程，实现了软判决和硬判决的对比。(Using MATLAB realize the whole process of convolution code and Viterbi decoding to achieve a contrast soft decision and hard decision.)

预失真补偿后的图形,采用快速傅里叶变换（Fast Fourier Transform, FFT） 计算得信号的频率数据，再利用得到的频率数据计算功放预失真补偿前后功率谱密度 样值(Predistortion compensation of graphics, using the Fast Fourier Transform, Fast Fourier Transform and FFT) Calculate signal frequency data, then get the frequency of the power spectral density before and after data computing power amplifier predistortion compensation Sample values)

为了改善噪声e(k)为有色噪声模型的系统参数估计的统计特性，提出了一种增广矩阵的方法，称为增广最小二乘算法，MATLAB实现范例(In order to improve the noise e (k) for the colored noise model of the system parameters estimated statistical characteristics, an Augmented Matrix method, called Augmented Least Squares, MATLAB implementation examples)

continuous graph test inputs the adjacency matrix of a graph and returns 1 if it s continuous and zero if matrix is not square or the graph is not continuous

This file takes cropped yale face images file as input and performs classifications based on 1. Correlation 2. Eigen vector based classification (Eigen Face) 3. Fisher Linear Discriminator (FLD) (Fisher Face) The zip contains two files readyaledata.m to read the image database EigenFace-FisherFace.m to do classification as described above

DXP shc. lib for MLCC CAPACITOR

This function processes events from the multi-algorithm GUI screen