Abstract
Digital signal processing means dealing with discretized signals expressed as numbers in a form convenient for electronic implementation of the mathematical operations. Digital filtering is its important part.
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References
Antoniou A (1983) Digital filters: analysis and design. McGraw-Hill Inc, New York
Litwin L (2000) FIR and IIR digital filters. The effects of finite bit precision. IEEE Potentials 19(4):28–31
Quélhas MF, Petraglia A, Petraglia MR (2004) Efficient group delay equalization of discrete-time IIR filters. In: Proceedings of the XII European signal processing conference, EUSIPCO-2004, Vienna, Austria, vol 1, pp 125–128
Mollowa GS, Unbehauen R (1998) Design of recursive filters with constant group delay and chebyshev stopband attenuation. In: Proceedings No. 3 of the IEEE international conference on acoustics, speech and signal processing, ICASSP ‘98, Seattle, WA, Art. No. 681673, pp 1257–1260
Mirković D, Litovski IV, Litovski VB (2015) On the synthesis and realization of selective linear phase IIR filters. In: Proceedings of 2nd international conference on electrical, electronic and computing engineering, IcETRAN 2015, Silver Lake, Serbia, ELI1.3.1-6
Rabey J (2009) Low power design essentials. Springer Science+Business Media, LLC, New York
Mirković D, Petković P, Litovski V (2014) A second order s-to-z transform and its implementation to IIR filter design. COMPEL Int J Comput Math Electr Electron Eng 33(5):1831–1843
Kaiser JF (1996) Digital filters. In: Kuo FF, Kaiser JF (eds) (1996) System analysis by digital computer. Wiley, New York
Hongyan C, Lisheng W (2012) Software and hardware implementation of IIR based on Matlab&Acceldsp. In: Proceedings of the 2nd international conference on computer application and system modeling. Atlantis Press, Paris, France, pp 1411–1415
Nelatury SR (2007) Additional correction to the impulse invariance method for the design of IIR digital filters. Digit Signal Proc 17(2):530–540
Németh JG, Kollár I. (2000) Step-invariant transform from z- to s-domain, A general framework. In: Proceedings of the 17th IEEE instrumentation and measurement technology conference, IMTC/2000, Baltimore, MD, vol 2, pp 902–907
Paarmann LD (1998) Mapping from the s-domain to the z-domain via magnitude-invariance method. Sig Process 69(3):219–228
Paarmann LD (2006) Mapping from the s-domain to the z-domain via phase-invariance method. Sig Process 86(2):223–229
Shi R, Wang S, Zhao J (2012) An unsplit complex-frequency-shifted PML based on matched z-transform for FDTD modelling of seismic wave equations. J Geophys Eng 9(2):218–229
Park W, Park KS, Koh HM (2008) Active control of large structures using a bilinear pole-shifting transform with H∞ control method. Eng Struct 30(11):3336–3344
Krantz SG (1999) Rouché’s theorem, §5.3.1 in “Handbook of Complex Variables”. Birkhäuser Publication Co., Boston, MA, p 74
https://www.youtube.com/channel/UCF_Ipw_YD2gwrRpJDUJJULw/playlists?disable_polymer=1
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Appendix
Appendix
See Tables 19.7, 19.8, 19.9 and 19.10.
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Litovski, V. (2019). IIR Digital Filter Synthesis Based on Bilinear Transformation of Analog Prototypes. In: Electronic Filters. Lecture Notes in Electrical Engineering, vol 596. Springer, Singapore. https://doi.org/10.1007/978-981-32-9852-1_19
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DOI: https://doi.org/10.1007/978-981-32-9852-1_19
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