Compressive sensing is a relatively new technique in the signal processing field which allows acquiring signals while taking few samples. It works on two principles: sparsity, which pertains to the signals of interest, and incoherence, which pertains to the sensing modality. Since, in conventional system all signals follow the Nyquist criteria, in which the sampling rate must be at least twice the maximum frequency of modulating signal. But, in this new concept we can recover the signal below the Nyquist rate. This paper presents the basic concept of compressive sensing and area of applications, where we can apply this technique.
R. DeVore. Nonlinear approximation. Acta Numerica, 7:518211; 150, 1998. DOI: https://doi.org/10.1017/S0962492900002816
D. L. Donoho. (2004, Sept-14). Compressed Sensing. Stanford University. Stanford, CA, U.S.A. [Online].Available: http://statweb.stanford.edu/%7edonoho/Reports/2004/CompressedSensing091604.pdf
E. J. Candes, and M. B. Wakin, ―An Introduction To Compressive Sampling,‖ Signal Processing Magazine, IEEE, vol 25, no. 2, pp. 21-30, March 2008. DOI: https://doi.org/10.1109/MSP.2007.914731
OpenStax-CNX module: m37166, Marco F. Duarte, Mark A. Davenport,‖Compressible Signals,‖Available: http://cnx.org/content/m37166/1.5.pdf Accessed: January 0, 2018.
OpenStax-CNX module: m37166, Marco F. Duarte, Mark A. Davenport,‖Compressible Signals,‖Available: http://cnx.org/content/m37165/1.5.pdf Accessed: January 0, 2018.
Emmanuel Cand`es and Justin Romberg,‖ Sparsity and Incoherence in Compressive Sampling‖, Available: https://arxiv.org/abs/math/0611957
Veeramachaneni, Dinesh, "Implementation of Compressive Sensing Algorithms on Arm Cortex Processor and FPGAs" (2015).
Jagdeep Kaur1, Kamaljeet Kaur2, Monika Bharti3, Pankaj Sharma4 and Jatinder Kaur,’’ Reconstruction Using Compressive Sensing: A Review’’ International Journal of Advanced Research in Computer and Communication Engineering,Vol. 2, Issue 9, September 2013
Copyright (c) 2018 Abhilasha Sharma
This work is licensed under a Creative Commons Attribution 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere.
- That its release has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Authors who publish with International Journal of Engineering Technologies and Management Research agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or edit it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
For More info, please visit CopyRight Section