Outlier-Detection

该程序利用MATLAB仿真画出了了DSB信号的循环谱，程序中添加了解释，方便理解和阅读。(The program utilizes MATLAB simulation depicts the cyclic spectrum DSB signal, the program has been added to explain, easy to understand and read.)

利用FABLES仿真平台开发元胞自动机，并模拟交通流中自行车流的行为现象。(FABLES simulation platform developed using the cellular automata and simulate traffic flow behavior in the bicycle flow phenomena.)

说明：  matlab开发-使用指数加权移动平均值的估计值。用指数加权移动平均法估计投资组合的风险价值。(Matlab development - the use of exponentially weighted moving average estimates. Using the index weighted moving average method to estimate the value at risk of the portfolio.)

高斯低通/高通频率域滤波实现图像的模糊/锐化(Gaussian low pass/high-pass filtering in frequency domain image of the fuzzy/unsharp)

％radon transform clear all ％ N=800 n=1:N fs=200 t=n/fs x1=exp(j*2*pi*(5*t+0.5*5*t.^2)) x2=exp(j*2*pi*(5*t+0.5*15*t.^2)) x=x1+x2 ％N=length(x) ％ ambifunb(x ) ％*****************************************RAT naf=ambifunb(x) htl(abs(naf)) ％ [wh,rho,theta]=htl(abs(naf)) colormap([0,0,0]) ％ xlabel( 极半径 ) ％ ylabel( 角度 ) ％**************************************％找出峰值点的坐标,计算初始频率和调频斜率(正确) ％找出峰值点的坐标 b=max(max(wh)) [u,a]=find(wh>=0.8*b) ( Radon transformclear all N = 800 n = 1: N fs = 200 t = n/fs x1 = exp (j* 2* pi* (5* t+ 0.5* 5* t. ^ 2)) x2 = exp ( j* 2* pi* (5* t+ 0.5* 15* t. ^ 2)) x = x1+ x2 N = length (x) ambifunb (x)***************************************** RATnaf = ambifunb (x) htl (abs (naf)) [wh, rho, theta ] = htl (abs (naf)) colormap ([0,0,0]) xlabel (polar radius) ylabel (angle)************************************** to find the coordinates of the peak point, calculating the initial slope of the frequency and FM (right) find the peak point of the coordinates b = max (max ( wh)) [u, a] = find (wh)

Introduction to MATLAB - Sikander M. Mirza.pdf

说明：  做傅立葉轉換並SHIFT 2階巴特沃斯 做週期性雜訊的處理(Fourier transform and SHIFT 2 do Butterworth deal to do periodic noise)

一个matlab的小波去噪程序 希望对研究小波的有帮助(a Matlab wavelet denoising procedures hope to study wavelet help)

最小熵解卷积（MED），是一种自适应滤波器设计方法，可以提取冲击成分(Minimum entropy deconvolution (MED), is an adaptive filter design method that can extract the impact of component)

数据预测，采用RBF最近邻算法预测股市趋势(Data to predict RBF nearest neighbor algorithm predict stock market trends)