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C-Band 53.76 Tbit/s Transmission Based on Bit Allocation Optimization with Raman Amplification
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作者 Ding Junjie Wang Chen +4 位作者 Ju Zhou Zhu Bowen Sang Bohan Liu Bo Yu Jianjun 《激光与光电子学进展》 CSCD 北大核心 2023年第7期430-434,共5页
We experimentally demonstrate an 80-channel wavelength division multiplexing(WDM)transmission system over a 400 km fiber link.Raman amplification results in a non-flat WDM signal spectrum.Therefore,bit allocation opti... We experimentally demonstrate an 80-channel wavelength division multiplexing(WDM)transmission system over a 400 km fiber link.Raman amplification results in a non-flat WDM signal spectrum.Therefore,bit allocation optimization is used to enable different channels to carry different order quadrature amplitude modulation signals according to their optical signal-noise-ratios.A neural network equalizer based on a convolutional neural network(CNN),long shortterm memory(LSTM)network,and fully connected(FC)layer structure is adopted in Rx digital signal processing,in which CNN is used for characteristic extraction,LSTM is used for equalization and demodulation,and FC layers are used for output.After transmission,the bit error rate of all channels is below the 25%soft-decision forward error correction threshold,and the line rate reaches 53.76 Tbit/s. 展开更多
关键词 wavelength division multiplexing transmission Raman amplification bit allocation optimization neural network equalizer
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Medical Image Compression by Applying 3D DWT in PACS
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作者 Wang Si-xian Li Fei-peng +2 位作者 Zeng Fa-long Liao Meng-yang Li Hui 《Wuhan University Journal of Natural Sciences》 EI CAS 1999年第3期313-318,共6页
The process of image compression in a practical Picture Archiving and Communication System (PACS) was discussed with detail. To fully reduce the inter-slice correlation existing in the volumetric image sets generated ... The process of image compression in a practical Picture Archiving and Communication System (PACS) was discussed with detail. To fully reduce the inter-slice correlation existing in the volumetric image sets generated by CT and MR, 3D Discrete Wavelet Transformation (DWT) was introduced in our application. Instead of using a fixed quantizer of lossless low frequency and distinct loss of high frequency, an adaptive quantizer was devised taking MSE as the performance index. In the low frequency subband, DPCM was replaced withS+P transform to facilitate coding computation. Compared with JPEG or 2D DWT, our method is 20%–50% more efficient. Furthermore, preliminary tests showed that 33 dB may be the maximal distortion threshold for CT images. 展开更多
关键词 PACS 3D DWT S+P transformation optimal bit allocation maximal distortion threshold
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