Araştırma Makalesi

s-to-z Transformation Tool for Discretization

Cilt: 9 Sayı: 4 29 Aralık 2021
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EN

s-to-z Transformation Tool for Discretization

Öz

The signals/systems in nature are analog in terms of their sources. These continuous-time signals/systems need to be discretized in order to be used in digital systems (processing, storage etc.). For this aim, different methods have been developed and continue to be developed. In the work carried out; a software tool with a user-friendly interface has been designed that performs discretization of continuous-time systems with different methods in a fast, accurate and effective manner, presents single or comparative results (parameters, responses, etc.) both numerically and graphically.

Anahtar Kelimeler

Kaynakça

  1. Katz P., (1981). Digital Control using Microprocessors. New Jersey: Prentice Hall.
  2. Franklin G.F., Powell J.D., Workman M.L., (1998). Digital Control of Dynamic Systems. 3rd ed. California: Addison-Wesley Longman.
  3. Al-Alaoui M.A., Novel stable higher order s-to-z transforms, IEEE Transactions on Circuits and Systems–I: Fundamental Theory and Applications, 48 No. 11 (2001) 1326-1329. doi: 10.1109/81.964421
  4. Al-Alaoui M.A., Linear phase low pass IIR digital differentiators, IEEE Transactions on Signal Processing, 55 No. 2 (2007) 697-706. doi: 10.1109/TSP.2006.885741
  5. Al-Alaoui M.A., Novel approach to analog-to-digital transforms, IEEE Transactions on Circuits and Systems-I: Regular Papers, 54 No. 2 (2007) 338-350. doi:10.1109/TCSI.2006.885982
  6. Ádám T., Dadvandipour S., Futás, J., Influence of discretization method on the digital control system performance, Acta Montanistica Slovaca, 8 No. 4 (2003) 197-200.
  7. Mirković D., Petković P., Litovski V., A second order s-to-z transform and its implementation to IIR filter design, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 33 No. 5 (2014) 1831-1843. doi: 10.1108/COMPEL-03-2014-0058
  8. Paarmann L.D., Mapping from the s-domain to the z-domain via the magnitude-invariance method, Signal Processing, 69 No. 3 (1998) 219-228. doi: 10.1016/S0165-1684(98)00104-2

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

29 Aralık 2021

Gönderilme Tarihi

1 Ekim 2021

Kabul Tarihi

5 Aralık 2021

Yayımlandığı Sayı

Yıl 2021 Cilt: 9 Sayı: 4

Kaynak Göster

APA
Vatansever, F., & Hatun, M. (2021). s-to-z Transformation Tool for Discretization. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, 9(4), 773-783. https://doi.org/10.29109/gujsc.1003694
AMA
1.Vatansever F, Hatun M. s-to-z Transformation Tool for Discretization. GUJS Part C. 2021;9(4):773-783. doi:10.29109/gujsc.1003694
Chicago
Vatansever, Fahri, ve Metin Hatun. 2021. “s-to-z Transformation Tool for Discretization”. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 9 (4): 773-83. https://doi.org/10.29109/gujsc.1003694.
EndNote
Vatansever F, Hatun M (01 Aralık 2021) s-to-z Transformation Tool for Discretization. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 9 4 773–783.
IEEE
[1]F. Vatansever ve M. Hatun, “s-to-z Transformation Tool for Discretization”, GUJS Part C, c. 9, sy 4, ss. 773–783, Ara. 2021, doi: 10.29109/gujsc.1003694.
ISNAD
Vatansever, Fahri - Hatun, Metin. “s-to-z Transformation Tool for Discretization”. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji 9/4 (01 Aralık 2021): 773-783. https://doi.org/10.29109/gujsc.1003694.
JAMA
1.Vatansever F, Hatun M. s-to-z Transformation Tool for Discretization. GUJS Part C. 2021;9:773–783.
MLA
Vatansever, Fahri, ve Metin Hatun. “s-to-z Transformation Tool for Discretization”. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, c. 9, sy 4, Aralık 2021, ss. 773-8, doi:10.29109/gujsc.1003694.
Vancouver
1.Fahri Vatansever, Metin Hatun. s-to-z Transformation Tool for Discretization. GUJS Part C. 01 Aralık 2021;9(4):773-8. doi:10.29109/gujsc.1003694

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