Please use this identifier to cite or link to this item: https://doi.org/10.1109/TCSII.2003.812912
Title: A width-recursive depth-first tree search approach for the design of discrete coefficient perfect reconstruction lattice filter bank
Authors: Lim, Y.C. 
Yu, Y.J.
Keywords: Discrete coefficient
Lattice filter
Orthogonal filter bank
Perfect reconstruction (PR)
Sensitivity measure
Signed power-of-two
Width-recursive depth-first tree search
Issue Date: Jun-2003
Source: Lim, Y.C.,Yu, Y.J. (2003-06). A width-recursive depth-first tree search approach for the design of discrete coefficient perfect reconstruction lattice filter bank. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing 50 (6) : 257-266. ScholarBank@NUS Repository. https://doi.org/10.1109/TCSII.2003.812912
Abstract: The lattice structure two-channel orthogonal filter bank structurally guarantees the perfect reconstruction (PR) property. Thus, It Is eminently suitable for hardware realization even under severe coefficient quantization condition. Nevertheless, its frequency response is still adversely affected by coefficient quantization. In this paper, a novel recursive-in-width depth-first tree search technique is presented for the design of lattice structure PR orthogonal filter banks subject to discrete coefficient value constraint. A frequency-response deterioration measure is developed to serve as a branching criterion. At any node, the coefficient which will cause the largest deterioration in the frequency response of the filter when quantized is selected for branching. The improvement in the frequency response ripple magnitude achieved by our algorithm over that by simple rounding of coefficient values differs widely from example to example ranging from a fraction of a decibel to over 10 dB.
Source Title: IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/54853
ISSN: 10577130
DOI: 10.1109/TCSII.2003.812912
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