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Discret Wavelet Transform got Daub2

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Discret Wavelet Transform got Daub2

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Implements the Daubechies 2 DWT w/o using the inbuilt function

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Description

y=d2wavelet(x,Fs,level) does the 2nd order Daubechies Wavelet Transform of signal x with a sampling frequency 'Fs' and the DWT is decomposition is done upto a 'level'
It returns the matrix of all decompositions and the final approximations.

Instead of using the matlab's inbuilt DWT function, this file explains the algorithm for DWT. Mostly useful for learning & academic purposes.

For other wavelets, the filter values alone can be changed or WFILTERS can
be used.

The function basically is for Condition Monitoring of rotating equipments by vibration based bearing fault diagnosis by the author.

Example:
       clear all;
       t=[0:0.0003:8*pi];
       x=sin(5000*t)+sin(1000*t);
       x=x(1:2^16);
       level=5;Fs=1/0.003;
       d2wavelet(x,Fs,level);

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Required Products Signal Processing Toolbox
MATLAB
MATLAB release MATLAB 7.10 (R2010a)
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Comments and Ratings (5)
04 Jul 2013 Santhana Raj

@ahmed

ya sure you can.
But the effectiveness of noise removal depends on the noise type and signal type

04 Jul 2013 ahmed

can i use it to denoise audio?

19 May 2013 Wang Yinhu  
12 Sep 2012 ajith

thank you sir send the detail about the shift4 algorithm for image processing

26 Jun 2012 n chow  

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