Abstract
Signal processing has become one of the most popular research topics. Researchers have designed a variety of digital filters to exclude unwanted random noises during the transmission or extract part of the signal in the desired range. There is a prevalent trend for digital filters to replace analog ones since they do not require hardwires. All the performances are operated on a single processor and are free from the effect of external factors. Finite impulse response (FIR) and infinite impulse response (IIR) filters in digital filters respectively provide infinite and finite impulse responses. In the application, it is preferred to have a linear phase digital filter, and FIR filters are naturally linear. However, FIR filters have higher orders and group delay than IIR filters, so researchers found various ways to implement linear phase IIR filters for improvement. This paper introduces and compares Powell and Chau Linear Phase IIR Filter, Kwan Linear Phase IIR Filter, and Xiao, Oliver, and Agathoklis Linear Phase IIR Filter.
Publisher
Darcy & Roy Press Co. Ltd.
Reference10 articles.
1. Steeb W-H. Mathematical tools in signal processing with C++ & Java simulations[M]. New Jersey World Scientific, 2005.
2. Winder S. Analog and digital filter design[M]. Amsterdam; Boston: Newnes, 2002.
3. Litwin L. FIR and IIR digital filters[J]. IEEE Potentials, 2000, 19(4): 28–31.
4. Saab S, Lu W-S., Antoniou A. Sequential design of IIR digital filters for low-power DSP applications [EB/OL]. IEEE Xplore.:96–1001998-06-01/2022-09-13.
5. Farrell D. TIME REVERSAL - Brian E. Anderson, Michele Griffa, Carène Larmat, Timothy J. Ulrich, and Paul A. Johnson [EB/OL]. Acoustics Today. 2019-10-03/2022-09-14. https://acousticstoday.org/time-reversal-brian-e-anderson/.
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