Comparison of synthesis-based and analysis-based compressive sensing

Oey Endra, Dadang Gunawan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The synthesis sparse representation model of signals regards that signal is formed from linear combination of a few atoms from a synthesis dictionary. Compressive sensing (CS) as a novel technique to acquire the signal directly in already compressed is based on that model. The analysis sparse representation as alternative model for the signals began to gain attention in recent years. The sparse analysis coefficients are obtained in analysis model by multiplying analysis dictionary and the signal. In this paper, we compare the performance of synthesis-based and analysis-based CS system. The simulation results show that analyisis-based CS provides better performance than synthesis-based CS in terms of signal recovery accuracy. It suggests that the analyis model will play an important role in the future direction of the CS research.

Original languageEnglish
Title of host publication14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages167-170
Number of pages4
ISBN (Electronic)9781479965519
DOIs
Publication statusPublished - 7 Jan 2016
Event14th International Conference on QiR (Quality in Research), QiR 2015 - Lombok, Indonesia
Duration: 10 Aug 201513 Aug 2015

Publication series

Name14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015

Conference

Conference14th International Conference on QiR (Quality in Research), QiR 2015
CountryIndonesia
CityLombok
Period10/08/1513/08/15

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Keywords

  • analysis model
  • compressive sensing
  • sparse representation
  • synthesis model

Cite this

Endra, O., & Gunawan, D. (2016). Comparison of synthesis-based and analysis-based compressive sensing. In 14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015 (pp. 167-170). [7374920] (14th International Conference on QiR (Quality in Research), QiR 2015 - In conjunction with 4th Asian Symposium on Material Processing, ASMP 2015 and International Conference in Saving Energy in Refrigeration and Air Conditioning, ICSERA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/QiR.2015.7374920