Polynomial sparse adaptive estimation in distributed networks

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dc.contributor.author Kumar, Shravan Kalyankar
dc.contributor.author George, Nithin V.
dc.date.accessioned 2017-07-04T04:07:01Z
dc.date.available 2017-07-04T04:07:01Z
dc.date.issued 2018-03
dc.identifier.citation Kumar, Shravan Kalyankar and George, Nithin V., “Polynomial sparse adaptive estimation in distributed networks”, IEEE Transactions on Circuits and Systems II: Express Briefs, DOI: 10.1109/TCSII.2017.2720181, vol.65, no.3, pp.401-405 Mar. 2018. en_US
dc.identifier.issn 1549-7747
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3008
dc.identifier.uri http://dx.doi.org/10.1109/TCSII.2017.2720181
dc.description.abstract Wireless sensor networks, including wireless acoustic sensor networks, have found applications in diverse areas including hearing aids, hands-free telephony and target tracking. The objective of this brief is to introduce a new sparsity regularization parameter in sparse distributed network estimation, to achieve a better estimation accuracy in comparison with existing sparse-aware algorithms. In order to further reduce the computational complexity, the algorithm has also been designed for heterogeneous sensor networks, where only a fraction of the sensor nodes use sparse-aware adaptive estimation schemes. en_US
dc.description.statementofresponsibility by Shravan Kalyankar Kumar and Nithin V. George
dc.format.extent vol.65, no.3, pp.401-405
dc.language.iso en_US en_US
dc.publisher IEEE en_US
dc.subject Estimation en_US
dc.subject Cost function en_US
dc.subject Algorithm design and analysis en_US
dc.subject Circuits and systems en_US
dc.subject Signal processing algorithms en_US
dc.subject Stability analysis en_US
dc.subject Hearing aids en_US
dc.title Polynomial sparse adaptive estimation in distributed networks en_US
dc.type Article en_US
dc.relation.journal IEEE Transactions on Circuits and Systems II: Express Briefs


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