MLPG1D

Wireless Sensor Network is the network of power-limited sensing devices called sensors. Wireless sensor network is differ other networks in terms of optimization of amount of energy because when these sensors sense and transmit data to other sensors present in the network, considerable amount of energy is dissipated. Various routing algorithms are proposed to limit the powers used by the wireless sensors. Hierarchical routing protocols with the concept of clustering like LEACH and and DEEC are already best known for maintaining energy efficiency. In this submission, we will compare these two protocols.

完整的车牌识别程序，MATLAB，有车牌图(MATLAB)

tutorial de como simular un sistema de potencia en matlab en españ ol

猴子摘桃海滩上有一堆桃子，五只猴子来分。第一只猴子把这堆桃子凭据分为五份，多了一个，这只 猴子把多的一个扔入海中，拿走了一份。第二只猴子把剩下的桃子又平均分成五份，又多了 一个，它同样把多的一个扔入海中，拿走了一份，第三、第四、第五只猴子都是这样做的， 问海滩上原来最少有多少个桃子？(Peach Monkeys on the beach there is a pile of peaches, five monkeys for points. The first monkey peach credentials this heap is divided into five copies, more than one, the monkey to more than one thrown into the sea, took a. The second monkey the rest of the peaches and what the average is divided into five, and there are one, and it is likewise more than one thrown into the sea, took a third, fourth, fifth monkeys are actually doing that , the question on the beach for at least the number of the original peach?)

Multiple MIMO techniques

channel estimation using least square

建立一个径向基神经网络，对非线性函数y=sqrt(x)进行逼近，并作出网络的逼近误差(The establishment of a radial basis function neural network, the nonlinear function y = sqrt (x) to approximate, and make the network approximation error)

说明：  一种标准的插值或“网格化”方案，基于高斯原理，无需预先计算就可以提高运算速度以及插值权重。(Nonuniform FFTs of the types discussed here are based, in essence, on combining some interpolation scheme with the standard FFT.)

pca进行主成分分析的源代码，对人脸识别，超分辨率有很好的作用(pca principal component analysis of the source code)

matlab编写的有关神经网络的三个小程序，其中包含bp网络，lvq网络和sofm网络(matlab prepared by the neural network of three small program, which includes bp network, lvq networks and sofm Network)