Doğuş Üniversitesi Dergisi

Doğuş Üniversitesi Dergisi

Performance of Gray Scaled Images Using Segmented Cellular Neural Network - Cellular Neural Network Combined Trellis Coded Quantization / Modulation (SCNN - CNN CTCQ/TCM) Approach Over Rician Fading Channel

Yazarlar: Osman Nuri UÇAN, Atilla ÖZMEN

Cilt 1 , Sayı 1 , 2000 , Sayfalar -

Konular:-

Anahtar Kelimeler:Segmented Cellular Neural Network,Trellis Code Quantization / Modulation,Rician Fading Channel

Özet: In this paper, Segmented Cellular Neural Network-Cellular Neural Network Combined Trellis Coded Quantization / Modulation (SCNN-CNN CTCQ/TCM) scheme is introduced. Here, a gray scaled image is lowered to 3 bit using our proposed Segmented Cellular Neural Network approach (SCNN) and then passed through a new CNN based structure which models combined trellis coded quantization / modulation. The performance of our combined scheme has been analyzed over Rician fading channel. Computer simulations studies confirm the analytical upper bound curves.

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@article{2000, title={Performance of Gray Scaled Images Using Segmented Cellular Neural Network - Cellular Neural Network Combined Trellis Coded Quantization / Modulation (SCNN - CNN CTCQ/TCM) Approach Over Rician Fading Channel}, volume={1}, publisher={Doğuş Üniversitesi Dergisi}, author={Osman Nuri UÇAN, Atilla ÖZMEN}, year={2000} }
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Osman Nuri UÇAN, Atilla ÖZMEN. (2000). Performance of Gray Scaled Images Using Segmented Cellular Neural Network - Cellular Neural Network Combined Trellis Coded Quantization / Modulation (SCNN - CNN CTCQ/TCM) Approach Over Rician Fading Channel (Vol. 1). Vol. 1. Doğuş Üniversitesi Dergisi.
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Osman Nuri UÇAN, Atilla ÖZMEN. Performance of Gray Scaled Images Using Segmented Cellular Neural Network - Cellular Neural Network Combined Trellis Coded Quantization / Modulation (SCNN - CNN CTCQ/TCM) Approach Over Rician Fading Channel. no., Doğuş Üniversitesi Dergisi, 2000.
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