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M. Shivamurti and S. V. Narasimhan, “Analytic Discrete Cosine Harmonic Wavelet Transform (ADCHWT) and Its Application to Signal/Image Denoising,” IEEE International Conference on Signal Processing and Communication, Bangalore, 18-21 July 2010, pp. 1-5.

has been cited by the following article:

• TITLE: A Dual Tree Complex Discrete Cosine Harmonic Wavelet Transform (ADCHWT) and Its Application to Signal/Image Denoising

  AUTHORS: M. Shivamurti, S. V. Narasimhan

  KEYWORDS: Analytic Discrete Cosine Harmonic Wavelet Transform, Analytic Wavelet Transform, Dual Tree Complex Wavelet Transform, DCT, Shift Invariant Wavelet Transform, Wavelet Transform Denoising

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.2 No.3, August 12, 2011

  ABSTRACT: A new simple and efficient dual tree analytic wavelet transform based on Discrete Cosine Harmonic Wavelet Transform DCHWT (ADCHWT) has been proposed and is applied for signal and image denoising. The analytic DCHWT has been realized by applying DCHWT to the original signal and its Hilbert transform. The shift invariance and the envelope extraction properties of the ADCHWT have been found to be very effective in denoising speech and image signals, compared to that of DCHWT.