Analysis of projection optimization in compressive sensing framework into reconstruction performance

Nur Afny C. Andryani, Dodi Sudiana, Dadang Gunawan

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

Abstract

Compressive Sensing (CS), which is firmly mathematically formulated by Danoho D, Candes E, Romberg J, and Tao T, is much developed especially for sensing and signal reconstruction. Its advantage framework on reducing number of measurement data while maintaining the performance of reconstruction quality, makes many researchers concern on developing the compressive sensing performance. The main parameters in CS are projection matrix and sparse base representation (dictionary). Subject to Restricted Isometric Property, the more incoherence between projection matrix and the dictionary, the more precise the signal reconstruction. Thus, a number of fundamental researches regarding projection optimization to optimize the incoherence between projection matrix and the dictionary have been developed. This paper elaborate the analysis of projection optimization's impact into reconstruction performance on signal with random and structured projection matrix. The simulations show that the projection optimization does not always imply better reconstruction especially for signal reconstruction with structured projection matrix.

Original languageEnglish
Title of host publicationProceeding - 2016 International Conference on Computer, Control, Informatics and its Applications
Subtitle of host publicationRecent Progress in Computer, Control, and Informatics for Data Science, IC3INA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages119-124
Number of pages6
ISBN (Electronic)9781509023233
DOIs
Publication statusPublished - 23 Feb 2017
Event2016 International Conference on Computer, Control, Informatics and its Applications, IC3INA 2016 - Tangerang, Indonesia
Duration: 3 Oct 20165 Oct 2016

Publication series

NameProceeding - 2016 International Conference on Computer, Control, Informatics and its Applications: Recent Progress in Computer, Control, and Informatics for Data Science, IC3INA 2016

Conference

Conference2016 International Conference on Computer, Control, Informatics and its Applications, IC3INA 2016
CountryIndonesia
CityTangerang
Period3/10/165/10/16

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Keywords

  • Compressive Sensing
  • Projection Optimization

Cite this

Andryani, N. A. C., Sudiana, D., & Gunawan, D. (2017). Analysis of projection optimization in compressive sensing framework into reconstruction performance. In Proceeding - 2016 International Conference on Computer, Control, Informatics and its Applications: Recent Progress in Computer, Control, and Informatics for Data Science, IC3INA 2016 (pp. 119-124). [7863035] (Proceeding - 2016 International Conference on Computer, Control, Informatics and its Applications: Recent Progress in Computer, Control, and Informatics for Data Science, IC3INA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC3INA.2016.7863035