EPLL

用于支持向量回归分析 将数据分类 使用matlab运行环境(For support vector regression analysis of data classification using matlab runtime environment)

说明：  《MATLAB时频分析技术》例题matlab编程实现第十四章其他例子(err)

说明：  rs编码，bpsk调制通信系统，有注释较为复杂(RS code, BPSK modulation communication system)

主要是对MC-CDMA系统的仿真，基于MATLAB环境中的，对初学者有一定帮助。(Mainly for MC-CDMA system simulation, MATLAB-based environment, have some help for beginners.)

This is a simple program to calculate the output of artificial neural network (ANN) using microcontroller ATMega 32. Assume that the neural architecture is : 2 hidden layers with 4 and 2 neurons respectively and 1 layer output with 1 neuron.This program explains the step how to compute the ANN in off-line mode.Means the weights and biases are already exist (microcontroller is not doing the learning steps). These parameters are produced using MATLAB. Therefore, we have already made the appropriate architecture using MATLAB. The tansig function is use in both of hidden layer. Finally, the neural output will be displayed on LCD port C.

此仿真的原理基于压缩感知理论，以LFM为采集信号，测量矩阵使用的是伯努利矩阵，恢复算法采用的是OMP算法，恢复效果不错，想学习压缩感知方面知识的可以下载仿真使用！ (The principle of the simulation based on compressed sensing theory, collection for LFM signal, measure matrix using Bernoulli matrix, recovery algorithm USES is OMP algorithms, recovery effect is good, want to learn simulation using compression perceptual knowledge can download!)

use for photovoltanic power converter

经验模态分解，依据数据自身的时间尺度特征来进行信号分解，给出本征函数。(Empirical mode decomposition, based on the data itself characteristic time scale for signal decomposition, given the intrinsic function.)

说明：  七单元天线阵DOA估计 clear clc d=1 天线阵元的间距 lma=2 信号中心波长 q1=1*pi/4 q2=1*pi/3 q3=1*pi/6 q4=3*pi/4 四输入信号的方向 A1=[exp(-2*pi*j*d*[0:6]*cos(q1)/lma)] 求阵因子 A2=[exp(-2*pi*j*d*[0:6]*cos(q2)/lma)] A3=[exp(-2*pi*j*d*[0:6]*cos(q3)/lma)] A4=[exp(-2*pi*j*d*[0:6]*cos(q4)/lma)] A=[A1,A2,A3,A4] 得出A矩阵 n=1:1900 v1=.015 四信号的频率 v2=.05 v3=.02 v4=.035 d=[1.3*cos(v1*n) 1*sin(v2(we)

散点数据生成格网,2d,3d,vc6.0,matlab6.5(Source- scatter data generated grid)