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a4.rar
- 本程序由matlab编写，通过求解光纤激光器的速率方程，给出激光功率分布,This program prepared by matlab, the rate of fiber lasers by solving the equation for the distribution of laser power
we
- 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*
A4
- Function files in MATLAB for calculation of laminate engineering constants for a multidirectional laminate consisting of plies with known values of material data in the principal material directions, known fiber orientations and known ply coordinates
octave-a4.pdf.tar
- GNU Octave A high-level interactive language for numerical computations Edition 3 for Octave version 3.0.0 July 2007 -GNU Octave A high-level interactive language for numerical computations Edition 3 for Octave version 3.0.0 July 2007
A4
- matlab source for comm simulation
Texture
- 基于共生矩阵纹理特征提取，d=1,θ=0°,45°,90°,135°共四个矩阵，粗糙度A1， 惯性矩A2，纹理熵A3，相关度A4，方差A5，逆差矩阵A6-extract texture
a4
- 机载雷达空时二维信号处理时的导向矢量的图-Airborne radar space-time steering vector diagram in the two-dimensional signal processing
PDFEEGLAB-Wiki-Tutorial-A4
- matlab eeglab 说明 ！！适合脑电信号处理人员-MATLAB eeglab descr iption! ! For EEG signal handlers
mtl_ode_sim_shootingmethod
- 运用打靶法求解二阶边值问题。 A1*d/dx(dy/dx) + A2*dy/dx + A3*y + A4 = 0-To illustrate the use of Runge-Kutta method in the Shooting method as applied to a function of the user s choosing.
music(doa)
- 七单元天线阵MUSIC DOA估计： d=1 ， 天线阵元的间距； lma=2， 信号中心波长； 四输入信号； A=[A1,A2,A3,A4]， 得出A矩； 四信号的频率d=[1.3*cos(v1*n) 1*sin(v2*n) 1*sin(v3*n) 1*sin(v4*n)] 构造输入信号矢量 U=A*d 总的输入信号 总输入信号的协方差矩阵 [s,h]=eig(c) 求协方差的特征矢量及特征值 取出与零特征
nef-1.4.0
- 非线性滤波框架（nef）,包括了 EKF,UKF,DDF1 DDF2,CDF,迭代滤波器,随机积分滤波器, 组合滤波器, 集合卡尔曼滤波, 高斯和滤波，粒子滤波，自回归最小二乘方法-nonlinear estimation framework (NEF) toolbox A. Implemeted local estimation techniques： a1. (extended) Kalman filter a2. Unscented Kalman filter a3.
8092-A4
- you should upload at least five source codes/documents, you can download more than 200 sourcecodes/documents after administrator checking the files you uploaded. Thank you!
LSM
- 最小二乘法拟合function [TrainingTime, TestingTime, TrainingAccuracy, TestingAccuracy] = LSM(Inputs, Targets, No_of_Output) a1=[]; a2=[]; a3=[]; a4=[]; %%%%%%%%%%%%% Selecte training set randomly a = Inputs; b = Targets; c = [ b' a']; [M,N] = size