Digital Filter Design with Constraints in Time and Frequency Domains
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.
KeywordsFinite Impulse Response Digital Filter Filter Design Finite Impulse Response Filter Support Vector Regression Machine
Unable to display preview. Download preview PDF.
- 1.Łeski J (2002), Computationally effective algorithm to the ε-insensitive fuzzy clustering, System Science, 28(3):31–50.Google Scholar
- 2.Łeski J (2003), Towards a robust fuzzy clustering. Fuzzy Sets and Systems, 137:215–233.Google Scholar
- 4.Drucker H, et al. (1997), Support vector regression machines. In M. Mozer et al., (eds), Advances in Neural Information Processing Systems 9, MIT Press, Cambridge.Google Scholar
- 8.McClellan J, Parks T (1973), A united approach to the design of optimum FIR linear-phase digital filters. IEEE Transactions on Circuits and Systems, 20(6):697–701.Google Scholar