KAuten_SS10

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.

A structure an motion toolkit in Matlab This document describes a set of Matlab functions for SAM (structure and motion recovery) its primary aim is to illustrate various methods developped over the past few years in this area

经典的matlab算法代码，包括顶点覆盖近似算法，哈密尔顿回路，最短路和次短路，最短路径等等。(Classical algorithm matlab code, including the vertex cover approximation algorithm, Hamilton circuit, the most short-circuit and sub-circuit, the shortest path and so on.)

performance of coding system by systematic matrix G in BSC channel.

说明：  编写一个函数，输入n为偶数时，调用函数求1/2+1/4+...+1/n,当输入n为奇数时，调用函数 1/1+1/3+...+1/n(利用指针函数) (Write a function, the input n is even, the function call seeking 1/2+1/4+...+ 1/n, when the input n is odd, call the function 1/1+1/3+...+ 1/n (using the pointer function))

this code is about hough transform

Studying Sound Frequency

多径时变信道的仿真:单频信号经过多径时变信道 音频信号经过20条传播路径得到的时域及频域波形。 (Time-varying multipath channel simulation: the time domain and frequency domain waveforms single frequency varying channel audio signal through the multipath signal propagation path 20.)

用Parzen窗法或者kn近邻法估计概率密度函数，得出贝叶斯分类器，对测试样本进行测试，比较与参数估计基础上得到的分类器和分类性能的差别.2． 同时采用身高和体重数据作为特征，用Fisher线性判别方法求分类器，将该分类器应用到训练和测试样本，考察训练和测试错误情况。将训练样本和求得的决策边界画到图上，同时把以往用Bayes方法求得的分类器也画到图上，比较结果的异同。3．选择上述或以前实验的任意一种方法，用留一法在训练集上估计错误率，与在测试集上得到的错误率进行比较。(Use Parzen Windows method or the kn neighbor method estimated probability density function, draw the bayes classifier, to test sample to test, and the parameter estimation is based on the classifier and get the difference of classification performance. 2. At the same time the height and weight data as the characteristic, with Fisher identification method for linear classifier, and the application of the classifier to training and test sample, investigation and test training error condition. Will the training sample and utility of decision on the drawing boundary paint, and at the same time before the Bayes method with optimal classifier also paint chart, the result of the comparison of the similarities and differences. 3. Select the above or before any a kind of method of experiment, with a method for training set in the estimation error rates, and on the test set get error rates are compared.)

基于最小均方差（MSE）的ASC 旁瓣对消波束成形算法的MATLAB实现(MATLAB-based minimum mean squared error (MSE) of ASC sidelobe cancellation algorithm to achieve beamforming)