auto_simulation_ber

数据聚类和模式识别MATLAB工具箱，完整的程序集(Data clustering and pattern recognition MATLAB toolbox, complete assembly)

通过采用ekf算法来实现SLAM，对比了真实值与采用算法后计算结果，说明程序的可行性。(EKF-SLAM Simulator ------------------ This simulator demonstrates a simple implementation of standard EKF-SLAM. It permits simple configuration via configfile.m to perform SLAM with various control parameters, noises, etc. Also various switches are available to choose known data-association versus gating, etc. The key file in this simulator is called ekfslam_sim.m . Type help ekfslam_sim for more information of how to use it. In addition to on-line animations, the simulator returns a data-structure of the logged state information for off-line processing. An example use of this data is shown in m-file plot_feature_loci.m , which plots the trajectories of the landmark estimates. Tim Bailey and Juan Nieto 2004. )

Gps Indicator extends Basic Indicator Source Code for Andriod.

sar图像去噪的几种新的方法，加入重复控制，针对EMD方法的不足。( Several new methods sar image denoising, Join repetitive control, For lack of EMD.)

Denoising technique using matlab

matlab的教程，PPT教程，共分为六节(matlab tutorial, PPT tutorial is divided into six)

说明：  用R语言写出的copula-GARCH函数(copula-GARCH function using R language)

Finding FWHM. Full-Width at Half-Maximum (FWHM) of the waveform.

clear all clc t=0:1/1000:10-1/1000 s=sin(2*pi*t) snr=20 s_power=var(s) varience of s linear_snr=10^(snr/10) factor=sqrt(s_power/linear_snr) noise=randn(1,length(s))*factor x=s+noise Ó É SNR¼ Æ Ë ã Ë æ » úÔ ë É ù x1=noise Ô ë É ùÔ ´ Ê ä È ë x2=noise w1=0 È ¨Ï µ Ê ý ³ õ Ö µ w2=0 e=zeros(1,length(x)) y=0 u=0.05 for i=1:10000 LMSË ã ·¨ y(i)=w1*x1(i)+w2*x2(i) e(i)=x(i)-y(i) w1=w1+u*e(i)*x1(i) w2=w2+u*e(i)*x2(i) end figure(1) subplot(4,1,1)

DIGITAL water marking