WVD

partial least square matlab code.

This is a easy to understand and sample code for shape context, Written by: Soheil Mehralian at Isfahan University of Isfahan (IUT) Contact: S.Mehralian@ec.iut.ac.ir

说明：  旅行商问题( TSP) 的改进模拟退火算法(Traveling Salesman Problem (TSP) to improve the simulated annealing algorithm)

conventional precoder for LTE-A

this a file for a n armed bandit

列主元消去法，可以计算出LU矩阵和方程组的解，已经验证可以运行。(Main-element elimination method, LU matrix can be calculated and the equations, has been demonstrated to run.)

it gives the frequency modulation

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.)

function S = steeringv(M,x) define steering vector free space wavelength of 15cm at resonant freq of 2GHz lamda = 0.15 d = lamda/2 inter-element spacing K = 1:M x is DOA of the received signal S = exp((-2*pi*j*(K-1)*d*sin(x))/lamda)

homework 3-4 is difficult