Design of Hilbert transform pairs of orthonormal wavelet bases with improved analyticity

This paper proposes a class of Hilbert transform pairs of orthonormal wavelet bases with improved analyticity. To improve the analyticity of complex wavelet, a different allpass filter is used for the half-sample delay approximation. We present a design method for allpass filters with the specified degree of flatness at ω = 0 and equiripple phase response in the approximation band. Remez exchange algorithm is applied in the approximation band, and then a set of filter coefficients can be obtained easily by solving the eigenvalue problem. Therefore, the equiripple phase response is attained through a few iterations. Furthermore, the corresponding filter banks are constructed from the designed allpass filters by using the method proposed in [7]. The resulting orthonormal wavelet bases possess the maximum number of vanishing moments. Finally, one example is presented to demonstrate the improvement of the analyticity.

[1]  N. Kingsbury Complex Wavelets for Shift Invariant Analysis and Filtering of Signals , 2001 .

[2]  Unto K. Laine,et al.  Splitting the Unit Delay - Tools for fractional delay filter design , 1996 .

[3]  Unto K. Laine,et al.  Splitting the unit delay [FIR/all pass filters design] , 1996, IEEE Signal Process. Mag..

[4]  Hüseyin Özkaramanli,et al.  On the phase condition and its solution for Hilbert transform pairs of wavelets bases , 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

[5]  Xi Zhang,et al.  Design of IIR digital allpass filters based on eigenvalue problem , 1999, IEEE Trans. Signal Process..

[6]  Nick Kingsbury,et al.  The dual-tree complex wavelet transform: a new technique for shift invariance and directional filters , 1998 .

[7]  Hüseyin Özkaramanli,et al.  On the phase condition and its solution for Hilbert transform pairs of wavelet bases , 2003, IEEE Trans. Signal Process..

[8]  Xi Zhang Design of Hilbert transform pairs of orthonormal wavelet bases using Remez exchange algorithm , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[9]  I. Selesnick Hilbert transform pairs of wavelet bases , 2001, IEEE Signal Processing Letters.

[10]  Nick G. Kingsbury,et al.  A dual-tree complex wavelet transform with improved orthogonality and symmetry properties , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[11]  H. Ozkaramanli,et al.  Hilbert transform pairs of orthogonal wavelet bases: necessary and sufficient conditions , 2005, IEEE Transactions on Signal Processing.

[12]  Ivan W. Selesnick,et al.  The design of approximate Hilbert transform pairs of wavelet bases , 2002, IEEE Trans. Signal Process..

[13]  Richard Baraniuk,et al.  The Dual-tree Complex Wavelet Transform , 2007 .