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
نویسندگان
چکیده
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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