Title :
Synthesis filters design for coding gain in oversampled filter banks
Author_Institution :
Electr. & Comput. Eng. Dept., McGill Univ., Montreal, Canada
Abstract :
In this letter, we study the impact of the design freedom brought about by oversampling in perfect reconstruction oversampled filter banks, on the choice of synthesis filters that maximize the coding gain. In particular, based on the expression of the coding gain for the oversampled case, we show the dependency of the coding gain on both analysis and synthesis filters. We explore how the choice of synthesis filters can affect the coding gain, given a fixed set of analysis filters. We show that the para-pseudo-inverse is a good choice for the maximization of the coding gain when the corresponding analysis filters have been optimized for coding gain under critical sampling.
Keywords :
channel bank filters; data compression; filtering theory; signal reconstruction; signal sampling; signal synthesis; analysis filter; coding gain; data compression; multirate signal processing; oversampled filter bank; para-pseudo-inverse; perfect signal reconstruction; synthesis filter design; Bit rate; Channel bank filters; Filter bank; Finite impulse response filter; Image reconstruction; Modulation coding; Pulse modulation; Quantization; Signal processing; Signal sampling; Coding gain; date compression; filter banks; multirate signal processing; oversampling;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.855549