Titlebook: Compressed Sensing for Distributed Systems; Giulio Coluccia,Chiara Ravazzi,Enrico Magli Book 2015 The Author(s) 2015 Compressed Sensing.Di

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書目名稱Compressed Sensing for Distributed Systems影響因子(影響力)




書目名稱Compressed Sensing for Distributed Systems影響因子(影響力)學(xué)科排名




書目名稱Compressed Sensing for Distributed Systems網(wǎng)絡(luò)公開度




書目名稱Compressed Sensing for Distributed Systems網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Compressed Sensing for Distributed Systems被引頻次




書目名稱Compressed Sensing for Distributed Systems被引頻次學(xué)科排名




書目名稱Compressed Sensing for Distributed Systems年度引用




書目名稱Compressed Sensing for Distributed Systems年度引用學(xué)科排名




書目名稱Compressed Sensing for Distributed Systems讀者反饋




書目名稱Compressed Sensing for Distributed Systems讀者反饋學(xué)科排名

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拱形大橋

Distributed Compressed Sensing,orresponding recovery algorithm, which can be centralized or distributed; each solution entails specific advantages and drawbacks that are preliminarily discussed in this chapter, whereas a detailed description of the corresponding recovery algorithms is given in Chaps.?. and ..

RADE

Strategisches Technologiemanagement sparsity support as in (non-distributed) compressed sensing. Even if the derivation is performed in the large system regime, where signal and system parameters tend to infinity, numerical results show that the equations match simulations for parameter values of practical interest.

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DECRY

Distributed Compressed Sensing,he distributed framework in which multiple devices acquire multiple signals. In particular, we focus on two key problems related to the distributed setting. The former is the definition of sparsity models for an ensemble of signals, as opposed to just one signal. The second is the structure of the c

頂點(diǎn)

Rate-Distortion Theory of Distributed Compressed Sensing,nce in the rate-distortion sense of any distributed compressed sensing scheme is derived, under the constraint of high-rate quantization. Moreover, under this model we derive a closed-form expression of the rate gain achieved by taking into account the correlation of the sources at the receiver and