On sparse sensing of coded signals at Sub-Landau sampling rates

Michael Peleg, Shlomo Shamai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Sparse sampling is examined jointly with encoding the transmitted signal. It is shown that with coding the Landau condition may be relaxed and the sampling rate can be lower than the effective bandwidth. Equivalently, the number of measurements can be smaller than the support size. Tight bounds on information rates and on support detection performance are derived for the Gaussian sparsely sampled channel using the context of state dependent channels. Support detection results are verified by a simulation.

Original languageEnglish
Title of host publication2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
DOIs
StatePublished - 2012
Event2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012 - Eilat, Israel
Duration: 14 Nov 201217 Nov 2012

Publication series

Name2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012

Conference

Conference2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2012
Country/TerritoryIsrael
CityEilat
Period14/11/1217/11/12

Keywords

  • channel state
  • code
  • sparse sampling
  • support

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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