matlab wind speed model wavelet filtering

1. Introduction

Slightly
469-can communicate, consult, answer questions

2. Description of content

Task requirements
Let A be the function A=3+ 2sin32t+ 1/5sin*(1/10π)te
The N sequence is noise, and the model is the gust model of the atmosphere. You can find 4 on csdn online.
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Task requirements: In fact, it is to superimpose a noise on the A model, and then filter this noise out by filtering, but the model of this noise must be a gust model, a gust of windModels are best tuned to 32 Hz.The A function is a continuous
analytic function, and its basic composition is a fixed value plus a high-order trigonometric function.
Requirements: Image with A
Image with N is small
Image with A+N
and filtered image
and difference image
A full set of program codes and other related files.

3. Simulation analysis

clcclose allclearrng defaultfs = 200; % sampling frequencyt = 0:1/fs:50; % time signalA = 3+2*sin(20*t)+sin(2*pi*t); %A model datafigureplot(t,A)xlabel time/sylabel magnitudetitle A signal% 0.5*sin(80*t) + 0.5*cos(60*t)+N = 0.5*sin(40*t) + 0.5*cos(60*t)+0.1*rand(1,length(t)); % random signalfigureplot(t,N)xlabel time/sylabel magnitudetitle N signalsignal = A + N; % model data with noise added;figureplot(t,signal)xlabel time/sylabel magnitudetitle A+N signal[xd,cxd,lxd] = wden(signal,'sqtwolog','s','one',2,'db3');figureplot(t,xd,t,A); %Mix_Signal_1 wavelet filtered signal

4. Reference papers

Slightly