Öz
Bu çalışmada Bölütlenmiş Hücresel Yapay Sinir Ağları-Hücresel Yapay Sinir Ağları Birleşik Kafes Kodlamalı Kuantalama ve M odülasyon işleminin gerçekleştirildiği yeni bir yapı tanıtılmıştır. Burada gri tonlamalı bir görüntü bizim tarafımızdan önerilen Bölütlemeli Hücresel Yapay Sinir Ağı yaklaşımı kullanılarak 3 bit seviyesine düşürülmüş ve daha sonra CNN tabanlı bir modelden oluşmuş kafes kodlamalı kuantalama ve modülasyon yapısından geçirilmiştir. Son olarak bu önerilen yapının performans analiz işlemleri yapılarak simulasyon ve analitik hata başarım eğrileri elde edilmiştir
Anahtar Kelimeler
Birleşik kaynak / kanal kodlaması hücresel sinir ağ yapıları
Kaynakça
- AKSU H.A. and SALEHI, M. (May 1996) "Joint Optimization of TCQ / TCM Systems", IEEE Trans. Commun., vol. 44, pp. 529-533.
- CHUA, L.O. (October 1988), "Cellular Neural Networks: Theory", IEEE Trans. On Circuits and Systems, vol.35, pp.1257-1272.
- CIM AGALLI, V. (May 12-14, 1993), "Cellular Neural Networks: A Review", Proceeedings of Sixth Italian Workshop on Parallel Architectures and Neural Networks, Vietri Sul Mare, Italy.
- DIVSALAR, D. and SIMON M.K. (September 1988), "The Design of Trellis Coded MPSK for Fading Channels: Performance Criteria" IEEE Trans. Commun., vol. Com-36, pp. 1004-1012.
- MARCELLIN, M.W. and FISCHER, T.R. (Jan.1990), "Trellis Coded Quantization of M emoryless and Gauss-M arkov Sources", IEEE Trans. Commun., vol. 38, pp. 82-93.
- MARCELLIN, M.W. and FISCHER, T.R. (Feb.1991), "Joint Trellis Coded Quanti zation / Modulation," IEEE Trans. Commun., vol. 39, pp. 172-176.
- UNGERBOECK, G. (Jan.1982) "Channel Coding With M ultilevel/Phase Signals", IEEE Trans. Inform. Theory, vol. 28, pp. 55-67.
- UYSAL, M. and UÇAN, O.N. (1997), "Combined Trellis Quantization/M odulation over Fading M obile Channel " ACTS Mobile Commun. Summit, pp.906-911, Denmark.
PERFORMANCE OF GRAY SCALED IMAGES USING SEGMENTED CELLULAR NEURAL NETWORKCELLULAR NEURAL NETWORK COMBINED TRELLIS CODED QUANTIZATION / MODULATION SCNN-CNN CTCQ/TCM APPROACH OVER RICIAN FADING CHANNEL
Öz
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.
Anahtar Kelimeler
Segmented Cellular Neural Network Trellis Code Quantization / Modulation Rician Fading Channel
Kaynakça
- AKSU H.A. and SALEHI, M. (May 1996) "Joint Optimization of TCQ / TCM Systems", IEEE Trans. Commun., vol. 44, pp. 529-533.
- CHUA, L.O. (October 1988), "Cellular Neural Networks: Theory", IEEE Trans. On Circuits and Systems, vol.35, pp.1257-1272.
- CIM AGALLI, V. (May 12-14, 1993), "Cellular Neural Networks: A Review", Proceeedings of Sixth Italian Workshop on Parallel Architectures and Neural Networks, Vietri Sul Mare, Italy.
- DIVSALAR, D. and SIMON M.K. (September 1988), "The Design of Trellis Coded MPSK for Fading Channels: Performance Criteria" IEEE Trans. Commun., vol. Com-36, pp. 1004-1012.
- MARCELLIN, M.W. and FISCHER, T.R. (Jan.1990), "Trellis Coded Quantization of M emoryless and Gauss-M arkov Sources", IEEE Trans. Commun., vol. 38, pp. 82-93.
- MARCELLIN, M.W. and FISCHER, T.R. (Feb.1991), "Joint Trellis Coded Quanti zation / Modulation," IEEE Trans. Commun., vol. 39, pp. 172-176.
- UNGERBOECK, G. (Jan.1982) "Channel Coding With M ultilevel/Phase Signals", IEEE Trans. Inform. Theory, vol. 28, pp. 55-67.
- UYSAL, M. and UÇAN, O.N. (1997), "Combined Trellis Quantization/M odulation over Fading M obile Channel " ACTS Mobile Commun. Summit, pp.906-911, Denmark.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Bölüm | Araştırma Makalesi |
| Yazarlar | |
| Yayımlanma Tarihi | 1 Ocak 2000 |
| Yayımlandığı Sayı | Yıl 2000 Cilt: 1 Sayı: 1 |