Paper
16 September 1994 Shuffle-based M-band filter bank design
Hakan Caglar, Oktay Alkin, Emin Anarim, Bulent Sankur
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185993
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
This paper presents a new design technique for obtaining optimum M channel orthogonal subband coders where M equals 2i. All filters that constitute the subband coder are FIR type filters with linear phase. We carry out the design in time domain, based on time domain orthonormality constraints that the filters must satisfy. Once a suitable low pass filter h0(n) is found, the remaining (M-1) filters of the coder are obtained through the use of shuffling operators on that filter. Since all resulting subband filters use the same numerical coefficient values (in different shift positions), this technique leads to a set of filters that can be implemented very efficiently. If, on the other hand, maximization of the coding gain is more important consideration than efficient implementation, the set of impulse responses obtained through shuffling can be further processed to remove the correlation between the subbands. This process leads to a new set of orthonormal linear phase filters that no longer share the same numerical coefficient values. In general, coding gain performance for this new set is better compared to the initial design. This uncorrelated decomposition can be thought of as counterpart of Karhunen-Loeve transform in an M channel filter bank.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hakan Caglar, Oktay Alkin, Emin Anarim, and Bulent Sankur "Shuffle-based M-band filter bank design", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185993
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KEYWORDS
Linear filtering

Matrices

Optical filters

Polonium

Electronic filtering

Finite impulse response filters

Image filtering

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