jiaquanjuzhen

说明：  实现遥感图像纠正，简洁的代码，强大的功能。有详细的说明。(Realize remote sensing images corrected, concise code)

multipath_chann.m 多径信道仿真(multipath_chann.m multipath_chann.m)

费诺码在MATLAB条件下的实现，可按概率降序排列的码字，求出码长及编码时间等功能 ((Fenaux code in MATLAB to achieve under the conditions, in descending order according to the probability of the code word, find time to code length and coding functions ()

基于matlab的图像处理工具箱，其中包括数字图像处理的基本工具(Based on matlab image processing toolbox, which includes the basic tools of digital image processing)

卡尔曼滤波器的NNF算法,可以用来对飞行器的轨迹进行预测(Kalman filter using the nearest neighbor filter for data association algorithm)

machine learning 方面有关于Bayesian Regression的资料，语言是python(There are aspects of machine learning Bayesian Regression information about language is python)

Performance of uipolar modulation Unipolar encoding, a line code

自己写的关于藻类图像去噪的算法程序，非常全(Algae image denoising algorithm program to write their own )

采样频率 fs=10000 轴承外环故障信号 fid=fopen( bearingout.dat , r ) 故障 N=1024 xdata=fread(fid,N, int16 ) fclose(fid) xdata=(xdata-mean(xdata))/std(xdata,1) 时域波形 figure(1) plot(1:N,xdata) xlabel( 时间 t/n ) ylabel( 电压 V/v ) db10小波进行4层分解 一维小波分解 [c,l] = wavedec(xdata,4, db10 ) 重构第1～4层细节信号 d4 = wrcoef( d ,c,l, db10 ,4) d3 = wrcoef( d ,c,l, db10 ,3) d2 = wrcoef( d ,c,l, db10 ,2) d1 = wrcoef( d ,c,l, db10 ,1) ( Sampling frequency fs = 10000 bearing outer ring fault signal fid = fopen (' bearingout.dat' , ' r' ) failure N = 1024 xdata = fread (fid, N, ' int16' ) fclose (fid ) xdata = (xdata-mean (xdata))/std (xdata, 1) time-domain waveform figure (1) plot (1: N, xdata) xlabel (' Time t/n' ) ylabel ( ' voltage V/v' ) db10 wavelet decomposition 4 layer one-dimensional wavelet decomposition [c, l] = wavedec (xdata, 4, ' db10' ) 1 ~ 4 reconstructed detail signal d4 = wrcoef (' d' , c, l, ' db10' , 4) d3 = wrcoef (' d' , c, l, ' db10' , 3) d2 = wrcoef (' d' , c, l, ' db10' , 2) d1 = wrcoef (' d' , c, l, ' db10' , 1) )

This file replicates cross-currency forward pricing using covered interest parity (CIP). It generates and plots CIP-implied forward exchange rates and calculates forward contract value. There are five inputs - domestic interest rate curve, foreign interest rate curve, spot exchange rate, maturity date, and strike price.(This file replicates cross-currency forward pricing using covered interest parity (CIP). It generates and plots CIP-implied forward exchange rates and calculates forward contract value. There are five inputs- domestic interest rate curve, foreign interest rate curve, spot exchange rate, maturity date, and strike price.)