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Journals / Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji / 2021 / Cilt: 9 Sayı: 4

s-to-z Transformation Tool for Discretization

Fahri Vatansever(BURSA ULUDAG UNIVERSITY)0000-0002-3885-8622
Metin Hatun(BURSA ULUDAG UNIVERSITY)0000-0003-0279-5508
Pages
773–783
Publication Date
2021-12-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The signals/systems in nature are analog in terms of their sources.
📊
Key Findings & Data:These continuous-time signals/systems need to be discretized in order to be used in digital systems (processing, storage etc.).
💡
Conclusion & Impact: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.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:s-to-z transform · s-to-z transformation · s-to-z mapping

Abstract

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.

🔖

Cite This Article

Vatansever, F., Hatun, M. (2021). s-to-z Transformation Tool for Discretization. Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji, Cilt: 9 Sayı: 4, 773–783. https://doi.org/10.29109/gujsc.1003694

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