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dc.contributor.authorSun, John Z.en_US
dc.contributor.authorMisra, Vinithen_US
dc.contributor.authorGoyal, Vivek K.en_US
dc.date.accessioned2021-05-12T15:26:06Z
dc.date.available2021-05-12T15:26:06Z
dc.date.issued2013-07
dc.identifier.citationJohn Z Sun, Vinith Misra, Vivek K Goyal. 2013. "Distributed Functional Scalar Quantization Simplified." IEEE Transactions on Signal Processing, Volume 61, Issue 14, pp. 3495 - 3508. https://doi.org/10.1109/tsp.2013.2259483
dc.identifier.issn1053-587X
dc.identifier.issn1941-0476
dc.identifier.urihttps://hdl.handle.net/2144/42542
dc.description.abstractDistributed functional scalar quantization (DFSQ) theory provides optimality conditions and predicts performance of data acquisition systems in which a computation on acquired data is desired. We address two limitations of previous works: prohibitively expensive decoder design and a restriction to source distributions with bounded support. We show that a much simpler decoder has equivalent asymptotic performance to the conditional expectation estimator studied previously, thus reducing decoder design complexity. The simpler decoder features decoupled communication and computation blocks. Moreover, we extend the DFSQ framework with the simpler decoder to source distributions with unbounded support. Finally, through simulation results, we demonstrate that performance at moderate coding rates is well predicted by the asymptotic analysis, and we give new insight on the rate of convergence.en_US
dc.format.extentp. 3495 - 3508en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofIEEE Transactions on Signal Processing
dc.subjectAsymptotic quantization theoryen_US
dc.subjectDistributed source codingen_US
dc.subjectFunctional source codingen_US
dc.subjectData compressionen_US
dc.subjectCoding for computingen_US
dc.subjectNetworking & telecommunicationsen_US
dc.titleDistributed functional scalar quantization simplifieden_US
dc.typeArticleen_US
dc.description.versionFirst author draften_US
dc.identifier.doi10.1109/tsp.2013.2259483
pubs.elements-sourcecrossrefen_US
pubs.notesEmbargo: No embargoen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Engineeringen_US
pubs.organisational-groupBoston University, College of Engineering, Department of Electrical & Computer Engineeringen_US
pubs.publication-statusPublisheden_US
dc.identifier.orcid0000-0001-8471-7049 (Goyal, Vivek K)
dc.identifier.mycv36893


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