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Titlebook: Neural Information Processing; 26th International C Tom Gedeon,Kok Wai Wong,Minho Lee Conference proceedings 2019 Springer Nature Switzerla

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A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communicationn our training process. Extensive experiments show that this training method improves the robustness of decoder and reconstruction performance. Besides, the algorithm is better than common compression algorithms and DNN based algorithms for underwater acoustic communication.
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RBPNET: An Asymptotic Residual Back-Projection Network for Super Resolution of Very Low Resolution Fexplicitly reconstruct the edge map of face image and embed it into the reconstruction of high-resolution face image to reduce distortion of super-resolution results. Extensive experiments demonstrate the effectiveness and advantages of our proposed RBPNet qualitatively and quantitatively.
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Zihan Wang,Neng Gao,Xin Wang,Ji Xiang,Guanqun Liuntation, the possibility to reason about both the states and the operations, a well-defined semantics allowing formal analysis, and the possibility to make simulation or to generate code. However, the expressive power of Petri nets makes difficult the precise modelling of large systems, because of t
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Yingjie Xu,Wenan Zhou,Ying Xingd to the description of hardware components at various levels of abstraction. This language has been standardised by the IEEE under the names . and . [5,6]; the VHDL’87 version is considered here. VHDL and another standardised language Verilog [7,9] are used widely by the community of hardware desig
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Yu Sang,Jinguang Sun,Simiao Wang,Yanfei Peng,Xinjun Zhang,Zhiyang Yangresentations of digital signal processing algorithms has been given, and based on this theory, techniques have been presented for compiling SDF programs into efficient code for programmable processors. The techniques have focused on the minimization of code size, and the minimization of the buffer m
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