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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
With the method we have discussed in this paper white noise is eliminated by using recursive estimation of video signals from its past values.
📌 3 Key Takeaways
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Objective & Hypothesis:During the transmission of television signals, because of several sources of electromagnetic noises, video signals are corrupted with white gaussian noise.
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Key Findings & Data:Generally, the noise is easily observable during the terrestrial transmission of video signals with less then 50 dB IF levels.
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Conclusion & Impact:With the method we have discussed in this paper white noise is eliminated by using recursive estimation of video signals from its past values.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
During the transmission of television signals, because of several sources of electromagnetic noises, video signals are corrupted with white gaussian noise. Generally, the noise is easily observable during the terrestrial transmission of video signals with less then 50 dB IF levels. With the method we have discussed in this paper white noise is eliminated by using recursive estimation of video signals from its past values.
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Cite This Article
ENGİN, E. Z., ENGİN, M., ALAKUŞ, R. S. (2022). Elimination of white noise from video signals of television transmission by using digital recursive estimation. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 2 - Sayı: 2, 627–633. https://ajindex.com/articles/543935