branch-and-bound

cocos 2d sample using simple tile operations.

用matlab编写的太阳能集热发电太阳能厂一维模型(One dimensional model of the solor collector.)

分数间隔均衡器设计，适用于CDMA和光通信系统以及其他系统(Fractionally spaced equalizer designed for CDMA and optical communication systems and other systems)

Lee滤波Matlab函数文件 可以对图像进行Lee滤波(Lee Filter Matlab function file can image Lee filter)

In this Program, we design PID controller for Control of AUV depth. AUV is Automatic Underwater Vehicle that use in Underwater action and Control of its Depth is important.

name : Simulation Tools for Wireless Sensor Networks E. Egea-López, J. Vales-Alonso, A. S. Martínez-Sala, P. Pavón-Mariñ o, J. García-Haro Department of Information Technologies and Communications Polytechnic University of Cartagena, Spain. Email: {esteban.egea, javier.vales, alejandros.martinez, pablo.pavon, joang.haro}@upct.es  Corresponding author. Address: Campus Muralla del Mar, 30202, Cartagena, Spain. phone: +34 968 325314, fax: +34 968 325973, e-mail: joang.haro@upct.es

一维褶积 雷克子波与地层序数 地震资料正演方法(One-dimensional convolution Ricker wave formation ordinal)

a method of ofdm simulation using matlab(a method of OFDM simulation using Matlab)

《小波分析理论与MATALB R2007 实现》里部分章节的matlab源程序，很有用(wavelet analysis using matlab.)

分析了支持向量回归机在能源需求预测中的优势,确定了输入向量集合和输出向量集合,建立了基于Matlab技术的SVR能源需求预测模型.对我国1985-2008年能源需求相关数据进行模拟与仿真,并对中国2010年和2020年能源需求量进行预测.研究结果表明:一是中国未来对能源的需求量逐渐增加,从2010年的330400万吨标准煤上升到2020年418320万吨标准煤,年均增长率为2.39％；二是在解决我国能源系统小样本.非线性及高维模式识别问题中SVR比BP神经网络等方法有更高的预测精度.(Support vector regression analyzes advantage in energy demand forecast to determine the set of input vectors and output vector set, established SVR energy demand forecasting model based on Matlab technology. Energy demand for our 1985-2008 related data modeling and simulation , and China in 2010 and 2020 energy demand forecast results show that: First, China s increasing demand for energy in the future, from 3.304 billion tons of standard coal in 2010 rose to 4.1832 billion tons of standard coal in 2020, average annual growth rate of 2.39 second is to solve our energy system small sample nonlinear and high dimensional pattern recognition problem SVR higher prediction accuracy than the BP neural network method.)