Abstract
This paper describes a new method for design of linear phase finite impulse response (FIR) filters. This new approach, based on the ε-insensitive loss function, allows the design process to take into account not only constraints specified in the frequency domain, but also constraints on the output, time domain, signal. The performances of the proposed approach are shortly illustrated with a design of a highpass filter used for ECG baseline wander reduction.
Keywords
- Finite Impulse Response
- Digital Filter
- Filter Design
- Finite Impulse Response Filter
- Support Vector Regression Machine
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2005 Springer-Verlag Berlin Heidelberg
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Henzel, N. (2005). Digital Filter Design with Constraints in Time and Frequency Domains. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_18
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DOI: https://doi.org/10.1007/3-540-32390-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
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