Application of Wavelet Transform for Determining Diagnostic Signs

The proposed algorithm, based on Discrete Wavelet Transform and Tucker Decomposition (DWT-TD), exploits both the spectral and the spatial information in the

Our color wavelet transform is non-marginal and its coefficients - separated into amplitude, phase, orientation and local color axis - have interest- ing physical interpretation

We proposed a supervised system for biomedical images classification that uses statistical features obtained from the combination of the discrete wavelet transform and Gabor filter

shows t hat the wavelet transform and the Kalman filt er are very complementary and give both correct values fo r the cycl e slips.. the id e ntity matrix..

In this paper we areinterested to the vibration signal processing by Application of Wavelet Transform for Inner Race Fault (IRF)Diagnosis in bearings, the suggested Technique is

In this paper we are interested to the vibration signal processing by Application of Wavelet Transform for Inner Race Fault (IRF) Diagnosis in bearings, the suggested Technique