Abstract: This paper improves a pattern recognition method for the
signals under the noisy environment using method of emphasizing wavelet
coefficients for reference clean signal data. If the data is polluted with
noise, these signal pattern recognitions are extremely difficult problem. To
analyze noise problem, people in general have used the fourier analysis. But
the fourier analysis reveals only the frequency information. And the general
noise filters reduce specific frequency band contained both noise and
signal. It is difficult to eliminate only noise component from a signal
containing noise signal. To overcome this difficulty, we applied the wavelet
analysis. In this paper, we improve the noisy signal pattern recognition by
bringing it close to reference data and noisy input data by modifying the
spectrum by using the wavelet transform for reference clean signal data. As
a result, noisy signal pattern recognition rate is improved by this method.
Keywords: Signal pattern recognition, noise, wavelet transform
