Previous work by the authors has demonstrated how circularly symmetric and diamond-shaped low-pass linear phase 2-D FIR filters can be designed using coefficients comprising the sum or difference of two signed power-of-two (SPT) terms. This has employed a minimax error criterion in conjunction with an optimisation process based on the use of genetic algorithms. The resulting filters exhibit superior performance to those designed using other methods reported such as simulated annealing and linear programming. This paper extends this work by demonstrating the further improvements possible if the constraints are relaxed, such that only the overall number of SPT terms is constrained, while the distribution between filter coefficients is unconstrained.
|Translated title of the contribution||Low complexity two-dimensional digital filters using unconstrained SPT term allocation|
|Title of host publication||IEEE International symposium on circuits and systems|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||762 - 765|
|Publication status||Published - May 1996|
|Event||International Symposium on Circuits and Systems - Atlanta, United States|
Duration: 1 May 1996 → …
|Conference||International Symposium on Circuits and Systems|
|Period||1/05/96 → …|
Bibliographical noteOther: Ch.201
Rose publication type: Conference contribution
Sponsorship: S.Sriranganathan acknowledges the support of the
committee of vice chancellors and principals and the
University of Bristol for scholarship awards. All authors
acknowledge the support of the Centre for Communications
Research at the University of Bristol.
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