Titlebook: Advances in VLSI, Communication, and Signal Processing; Select Proceedings o David Harvey,Haranath Kar,Vijaya Bhadauria Conference proceedi

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书目名称Advances in VLSI, Communication, and Signal Processing影响因子(影响力)




书目名称Advances in VLSI, Communication, and Signal Processing影响因子(影响力)学科排名




书目名称Advances in VLSI, Communication, and Signal Processing网络公开度




书目名称Advances in VLSI, Communication, and Signal Processing网络公开度学科排名




书目名称Advances in VLSI, Communication, and Signal Processing被引频次




书目名称Advances in VLSI, Communication, and Signal Processing被引频次学科排名




书目名称Advances in VLSI, Communication, and Signal Processing年度引用




书目名称Advances in VLSI, Communication, and Signal Processing年度引用学科排名




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书目名称Advances in VLSI, Communication, and Signal Processing读者反馈学科排名

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832.5 Gb/s PM-8QAM Superchannel with 5 b/s/Hz Spectral Efficiency,e comparison is also presented among different higher-order polarization multiplexed formats, which reflects that to achieve same BER, more OSNR is required by higher-order modulation formats. The proposed concept is applicable in terrestrial communication and flexible optical networks.

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Predictive Analysis of Wind Turbine Output Power Using Support Vector Machine(SVM) Based on Genetico that they can predict the future demand in the most accurate way. There are some already existing predictive models, which are linear in nature, e.g. auto-regressive (AR), moving average (MA), etc. Also, there are nonlinear models, e.g. GARCH, ARCH, and neural networks. In this paper basically, we

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Rain Streaks Elimination Using Hybrid Median Filter and Contrast Stretching,inear filtering. Also, the contrast stretching method is implemented to improve the fog removed image obtained after dark channel prior. With our proposed technique we have shown that the similarity index of rain-free enhanced image is increased using a Hybrid Median Filtering and contrast enhanceme

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1876-1100 ge, video and multimedia signal processing. This book will be useful to students, researchers and professionals working in the electronics and communication domain..978-981-15-6842-8978-981-15-6840-4Series ISSN 1876-1100 Series E-ISSN 1876-1119

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In Vivo Functions of Isgylation,o that they can predict the future demand in the most accurate way. There are some already existing predictive models, which are linear in nature, e.g. auto-regressive (AR), moving average (MA), etc. Also, there are nonlinear models, e.g. GARCH, ARCH, and neural networks. In this paper basically, we