Wavelet modulation and recovery of weak signals via frequency selective thresholding

作者: Arun K. Majumdar , Fotios P. Kourouniotis

DOI: 10.1117/12.563202

关键词: Stationary wavelet transformHarmonic wavelet transformSecond-generation wavelet transformWavelet transformWaveletWavelet packet decompositionAlgorithmDiscrete wavelet transformWavelet modulationMathematicsSpeech 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.

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