This paper considers the design of reduced complexity 2 band QMF filter banks. In order to ensure perfect reconstruction, a lattice architecture has been adopted. Genetic algorithms are used to search for an optimal set of coefficients comprising simple sums of signed power of two terms. This allows the entire filter bank to be implemented using only additions and a single multiplicative scaling factor. Results are presented which show that the proposed method can be used to design filters with superior (in terms of minimax ripple) performance, compared to various infinite precision designs. Genetic algorithms can also be used to jointly optimise both performance and complexity in order to achieve an optimum performance/complexity trade off
Sponsorship: S.Sriranganat1ian acknowledges the support of the committee of vice chancellors and principals and the University of Bristol for scholarship. The authors also would like to thank the Centre for Communications Research of the University of Bristol. This work was performed under EPSRC grant GW25892
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Name of Conference: International Symposium on Circuits and Systems
Venue of Conference: Hong Kong
- genetic algorithms, QMF filter banks