Title :
Perfect Reconstruction IIR Digital Filter Banks Supporting Nonexpansive Linear Signal Extensions
Author_Institution :
Dept. of Electr. & Electron. Eng., Hacettepe Univ. Beytepe, Ankara
fDate :
6/1/2009 12:00:00 AM
Abstract :
In this paper, perfect reconstruction polyphase infinite impulse response (IIR) filter banks involving causal and anticausal inverses are examined for finite-length signals. First, a novel and efficient nonexpansive perfect reconstruction algorithm based on the state-space implementation is presented. Then the proposed method is extended to support linear signal extensions at the boundaries in a nonexpansive manner. The powerfulness of the proposed algorithm is demonstrated with the image compression results.
Keywords :
IIR filters; data compression; image coding; image reconstruction; IIR digital filter bank reconstruction; image coding; image compression; infinite impulse response filter; linear signal extension; nonexpansive perfect reconstruction algorithm; state-space implementation; Border effects; boundary extensions; image coding; infinite impulse response (IIR) filter banks; two-channel allpass filter banks;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2009.2016228