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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
For this purpose a different receiver structure is proposed and mathematical model is given.Investigated system's error performance curves are given for different signal-to-noise ratios.
📌 3 Key Takeaways
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Objective & Hypothesis:In this study, Trellis Coded Modulation (TCM) technique is combined with Space Time Codes (STC) and error performance is investigated in Additive White Gaussian (AWGN) channels.
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Key Findings & Data:In this study, Trellis Coded Modulation (TCM) technique is combined with Space Time Codes (STC) and error performance is investigated in Additive White Gaussian (AWGN) channels.
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Conclusion & Impact:For this purpose a different receiver structure is proposed and mathematical model is given.Investigated system's error performance curves are given for different signal-to-noise ratios.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
In this study, Trellis Coded Modulation (TCM) technique is combined with Space Time Codes (STC) and error performance is investigated in Additive White Gaussian (AWGN) channels. For this purpose a different receiver structure is proposed and mathematical model is given.Investigated system's error performance curves are given for different signal-to-noise ratios.
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Cite This Article
OSMAN, O., UÇAN, O. N., ERKAN, Ö. (2022). Space time coding for trellis coded modulation in Additive White Gaussian channels. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 3 - Sayı: 2, 967–971. https://ajindex.com/articles/543912