Titlebook: Communications, Signal Processing, and Systems; Proceedings of the 1 Qilian Liang,Wei Wang,Baoju Zhang Conference proceedings 2023 The Edit

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書目名稱Communications, Signal Processing, and Systems影響因子(影響力)




書目名稱Communications, Signal Processing, and Systems影響因子(影響力)學(xué)科排名




書目名稱Communications, Signal Processing, and Systems網(wǎng)絡(luò)公開度




書目名稱Communications, Signal Processing, and Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Communications, Signal Processing, and Systems被引頻次




書目名稱Communications, Signal Processing, and Systems被引頻次學(xué)科排名




書目名稱Communications, Signal Processing, and Systems年度引用




書目名稱Communications, Signal Processing, and Systems年度引用學(xué)科排名




書目名稱Communications, Signal Processing, and Systems讀者反饋




書目名稱Communications, Signal Processing, and Systems讀者反饋學(xué)科排名

Gossamer

Qilian Liang,Wei Wang,Baoju ZhangUnifies Communications, Signal Processing, and Systems.Incorporates the latest development in these areas.Presents system approaches for communications and signal processing

jumble

Lecture Notes in Electrical Engineeringhttp://image.papertrans.cn/c/image/230551.jpg

CANDY

https://doi.org/10.1007/978-94-011-5252-5ulse Response (FIR) system with entropy-rate framework is shown. A practical signal sampling algorithm to calculate the MI in the case of probability density function (PDF) with regenerative property is given. The MI calculation method is based on random sampling, which can reduce the computational

bonnet

Urea508

Urea508

https://doi.org/10.1007/978-94-009-5482-3output (MIMO) waveform of automotive radar, a time jitter Doppler frequency division multiplexing automotive radar waveform is proposed. This waveform jitters the pulse repetition interval stagger in the time domain, uses the phase difference between odd and even sequences to realize velocity ambigu

malign

World Views and the Solar System,studied previously is to have different network coding schemes for different phase offsets. Our study, however, considers symbol asynchrony between the end users in HePNC and investigates the joint effect of the phase and symbol offsets on HePNC. For this, we adopt an oversampling method on superimp

期滿

博愛(ài)家

https://doi.org/10.1007/978-3-540-68853-2 image registration. However, due to the intrinsic property of convolution, namely the limited size of the convolution kernel, the learning of global contextual information is lacking. In order to solve the above problems, this paper proposes a multi-scale channel attention image registration model