Title :
Coefficient quantization error recovery
Author :
Suarez, Jose I. ; Lindquist, Claude S.
Author_Institution :
Motorola Inc., Plantation, FL, USA
Abstract :
A novel method to recover perfect reconstruction (PR), after error caused by filter bank coefficient quantization is presented. At the moment, most work involving the design of two channel filter banks with signed-powers-of-two coefficients proposes to minimize the peak reconstruction error and/or the peak stop band ripple; the exact filter is never known. In this paper a new result is presented, showing that we can CSD code the coefficients of a filter bank and regain PR via a post-processing filter. This permits fast multiplier-less computation of the analysis or synthesis filter banks, while the end user can recover PR if desired by post-processing. We show that the coded synthesis and analysis polyphase matrices multiply to a diagonal matrix. The diagonal entries define a filter which can be inverted to obtain PR. The result applies to any filter bank
Keywords :
IIR filters; channel bank filters; digital arithmetic; digital filters; quantisation (signal); CSD code; coefficient quantization error; diagonal matrix; multiplier-less computation; perfect reconstruction; polyphase matrices; post-processing; post-processing filter; quantization error recovery; signed-powers-of-two coefficients; two channel filter banks; Channel bank filters; Computer errors; Delay; Equations; Filter bank; Finite impulse response filter; Linear matrix inequalities; Polynomials; Quantization; Topology;
Conference_Titel :
Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-5471-0
DOI :
10.1109/ISCAS.1999.778878