AND_OR

matlab simulink c++,java等一些程序语言。(matlab simulink c++, java programming language some.)

一个简单的adaboost分类的方法。随机生成两组数据，训练分类器。之后再生成两组数据进行分类。效果很好(A simple way adaboost classification. Randomly generated two sets of data, to train a classifier. After re-generate two sets of data classification. Good results)

Solar pv Maxi Series leaflet_release_Oct 12

this gives first line of a given document

This file is about the working of modified sub oscillation method of generating PWM.

rake接收机性能的深入分析研究，主要是在CDMA中的应用(in-depth analysis of the rake receiver performance research, mainly in the CDMA Application)

IIR实现自适应滤波，运用高斯-牛顿算法实现了真正的价值的数据。(IIR adaptive filters,Implements the Gauss-Newton algorithm for REAL valued data. )

神经网络遗传算法函数极值寻优非线性函数极值寻优(Neural network genetic algorithm optimization function extreme nonlinear function extreme optimization)

求解TSP问题，即在N个城市中各经历一次回到出发点，使所经过的路程最短。采用连续的Hopfield网络实现以5个城市为例的TSP问题。(TSP problem, that each of the N cities experiencing a return to the starting point, so that the shortest distance elapsed. Use continuous Hopfield networks to five cities as an example of the TSP.)

For using this code need to use signal toolbox and general toolbox in your matlab Inpainting using sparse regularization. Consider the pepper image with many missing pixels. Assume that the image is noisy-free. (a) Inpaint the image by using orthogonal wavelet sparsity. (b) Inpaint the image by using a different sparsity prior. Based on the outputs, it is clear that the inpainting result obtain by Sobolev is much better than other methods (i.e. Orthogonal wavelet sparsity and Invariant wavelet sparsity).