Coding theory for reliable signal processing

Aditya Vempaty, Yunghsiang S. Han, Lav R. Varshney, Pramod K. Varshney

Research output: Contribution to conferencePaper

2 Scopus citations

Abstract

With increased dependence on technology in daily life, there is a need to ensure their reliable performance. There are many applications where we carry out inference tasks assisted by signal processing systems. A typical system performing an inference task can fail due to multiple reasons: presence of a component with permanent failure, a malicious component providing corrupt information, or there might simply be an unreliable component which randomly provides faulty data. Therefore, it is important to design systems which perform reliably even in the presence of such unreliable components. Coding theory based techniques provide a possible solution to this problem. In this position paper, we survey some of our recent work on the use of coding theory based techniques for the design of some signal processing applications. As examples, we consider distributed classification and target localization in wireless sensor networks. We also consider the more recent paradigm of crowdsourcing and discuss how coding based techniques can be used to mitigate the effect of unreliable crowd workers in the system.

Original languageEnglish (US)
Pages200-205
Number of pages6
DOIs
StatePublished - Jan 1 2014
Event2014 International Conference on Computing, Networking and Communications, ICNC 2014 - Honolulu, HI, United States
Duration: Feb 3 2014Feb 6 2014

Other

Other2014 International Conference on Computing, Networking and Communications, ICNC 2014
CountryUnited States
CityHonolulu, HI
Period2/3/142/6/14

    Fingerprint

Keywords

  • Coding theory
  • Crowdsourcing
  • Distributed Inference
  • Reliability
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Vempaty, A., Han, Y. S., Varshney, L. R., & Varshney, P. K. (2014). Coding theory for reliable signal processing. 200-205. Paper presented at 2014 International Conference on Computing, Networking and Communications, ICNC 2014, Honolulu, HI, United States. https://doi.org/10.1109/ICCNC.2014.6785331