Properties of optimal, compaction filters in subband coding

Optimum compaction filters find application in the design of orthonormal subband coders with maximum coding gain. The compaction gain for a process is defined, and a number of its properties studied. Bounds on the compaction gain are established, and the conditions for the attainment of these bounds are specified in terms of the input power spectrum. Finally, the behavior of the optimum compaction gain as a function of M (the number of channels in a subband coder) is also addressed.

[1]  Michael Unser,et al.  On the optimality of ideal filters for pyramid and wavelet signal approximation , 1993, IEEE Trans. Signal Process..

[2]  Roberto H. Bamberger,et al.  Multi-dimensional, paraunitary principal component filter banks , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[3]  Pierre Moulin A new look at signal-adapted QMF bank design , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[4]  P.P. Vaidyanathan Filter banks with maximum coding gain and energy compaction , 1995, Conference Record of The Twenty-Ninth Asilomar Conference on Signals, Systems and Computers.

[5]  Hideaki Sakai,et al.  Optimization of filter banks using cyclostationary spectral analysis , 1996, IEEE Trans. Signal Process..

[6]  Benoit M. Macq,et al.  Signal-adapted multiresolution transform for image coding , 1992, IEEE Trans. Inf. Theory.

[7]  P. P. Vaidyanathan Theory of optimal orthonormal filter banks , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

[8]  Georgios B. Giannakis,et al.  Principal component filter banks for optimal multiresolution analysis , 1995, IEEE Trans. Signal Process..