作者: Arun K. Majumdar , Fotios P. Kourouniotis
DOI: 10.1117/12.563202
关键词: Stationary wavelet transform 、 Harmonic wavelet transform 、 Second-generation wavelet transform 、 Wavelet transform 、 Wavelet 、 Wavelet packet decomposition 、 Algorithm 、 Discrete wavelet transform 、 Wavelet modulation 、 Mathematics 、 Speech recognition
摘要: The limitations of straight forward wavelet transformations have been investigated for some time1. In this paper, it is shown that the time-frequency resolution tradeoff may be significantly improved by frequency modulating mother wavelet. way weak signal components more efficiently recovered from strong noise. This technique applied on discrete seismic data sets. addition to wavelet, quality signals substantially application weights modify mean transform set. two-dimensional variance and signal-to-noise ratio (SNR) plots will used in order achieve goal. It also employing a selective thresholding method, even better results as far suppressing noise while keeping can attained.