Avgfilt

详细讲解了AWGN信道下16QAM编解码的设计及误码率性能分析(gave a detailed account of the AWGN channel codecs 16QAM the design and analysis of BER performance)

说明：  数字信号处理的一些MATLAB源程序，均已经通过编译、仿真，请放心下载使用。(digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.)

Ho-Koshyap : Linear Discriminants

it is acf matlab code

周武扬的编码理论，非常详细，包括汉明码、卷积码、差错控制编码等等。(the error code of zhou wu yang,very good,include hamming code,error chontrol code.)

TSP using Simulated Annealing

基于matlab编写的分段线性插值计算，可用于高速铁路沉降预测中灰色理论和Asaoka算法的等时间间隔处理(Matlab prepared based on piecewise linear interpolation can be used for high-speed rail Settlement Prediction gray theory and Asaoka processing algorithms, such as the time interval)

基于灰度图像的目标物的提取、边缘检测、迭代收缩(Extract target grayscale images based on edge detection, iterative shrinkage)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

The exponential growth in the number of Photovoltaic (PV) system installations verifies that solar power technology has become one of the promising energy resources. This paper introduces new control scheme and converter topology for low to medium power PV applications. Proposed topology provides independent MPPT and power decoupling without the use of bulky electrolytic capacitors.