Mohd Zul-Hilmi Mohamad <br/><br/>
De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis / 
 De-noising of an experimental acoustic emissions (AE) data using one dimensional (1-D) wavelet packet analysis  [electronic resource] 
Mohd Zul-Hilmi Bin Mohamad 
 - Kuantan, Pahang :  UMP ,  2009 
 - xiii, 78 p. :  ill. (some col.) ;  30 cm. +  1 computer disc 
<br/><br/>Project paper (Bachelor of Mechanical Engineering with Automotive) -- Universiti Malaysia Pahang - 2009 
<br/><br/>Bibliography : p. 52-53 
<br/><br/> Wavelet transformation technique was founded to be more appropriate to analyse the AE signals under such situations. Wavelet transformation technique is used to de-noise the Acoustic Emission data. The de-noised signal is classified to identify a signature based on the type of phenomena. Through various filtering/thresholding techniques, it was found that the original signal was getting filtered out along with noise. There are many type of wavelet that can be used for de-noising data. However, daubechies wavelet is the most wavelet type is use in signal analysis compare to the other wavelet. A signal can be generates using one-dimensional wavelet packet analysis contain in MATLAB to verify the result of de-noising signal 
<br/><br/><label>ISBN: </label>THE0005712(Local) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Acoustic emission testing<br/>Wave packets