Haneul Yoon, Sukhee Park, Sangyong Lee, Jangmyung Lee
Department of Electrical Engineering, Pusan National University, Pusan 609-735, Korea
Abstract： In the step processing a digitalized signal, noises are generated by internal or external causes of the system. In order to eliminate these noises, v arious methods are researched. Among these noise elimination methods, Fourier fa st transform (FFT) and short-time Fourier transform (STFT) are widely used. Beca use they are expressed as a fixed time-frequency domain, they have the disadvant age that the time information about the signal is unknown. In order to overcome these limitations, by using the wavelet transform that provides a variety of tim e-frequency resolution, multi-resolution analysis can be analysed and a varying noise depending on the time characteristics can be removed more efficiently. The refore, in this paper, a denoising method of underwater vehicle using discrete w avelet transform (DWT) is proposed.
Key words： discrete wavelet transform(DWT); denoising filter; underwater vehicl e; digital signal processing
CLD number： TN911.7 Document code： A
Article ID： 1674-8042(2013)03-0238-05 doi： 10.3969/j.issn.1674-8042.2013.03.0 08
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