Abstract
We consider the design of digital finite-impulse response (FIR) filters satisfying constraints on the amplitude response. Constrained FIR filter design with frequency-domain linear constraints on the amplitude response usually uses the least-squares or the Chebyshev error criterion, which can be generally reformulated as quadratic programming (QP) problem. This paper presents an novel algorithm for the design of constrained low-pass FIR filters according to a variously defined error. This approach does not require the transition bands specification, is characterized by rapid convergence and is suitable for high order filter design.
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© 2013 Springer International Publishing Switzerland
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Henzel, N., Leski, J.M. (2013). Generalized Constraint Design of Linear-Phase FIR Digital Filters. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_5
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DOI: https://doi.org/10.1007/978-3-319-00969-8_5
Publisher Name: Springer, Heidelberg
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