ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
The Adaptive and Non-Adaptive Compressed Sensing Based on Average-Frame Signal to Noise Ratio (AFSNR)
Authors
Rayala Sateesh
Keywords
compressed sensing, Adaptive Sampling, Projection Matrix, AFSNR
Abstract
The objective of this work is to further improve the performance of the existing compressed sensing technique that uses non adaptive projection matrix. Average-Frame Signal-to-Noise Ratio (AFSNR) is calculated to evaluate the performance of the frame-based adaptive Compressed Sensing (CS) with the non-adaptive Compressed Sensing (CS) is an emerging signal acquisition technique that directly collects signals in a compressed form if they are sparse on some certain basis. It originates from the idea that it is not necessary to invest a lot of power into observing the entries of a sparse signal in all coordinates when most of them are zero anyway. Our proposed approach is adaptive projection matrix based on frame analysis which gives significantly improved speech reconstruction quality.
Full Paper, Downloads & Preview
How To Cite
"The Adaptive and Non-Adaptive Compressed Sensing Based on Average-Frame Signal to Noise Ratio (AFSNR)", IJRTI - International Journal for Research Trends and Innovation (www.IJRTI.org), ISSN:2456-3315, Vol.2, Issue 7, page no.85 - 89, July-2017, Available :https://ijrti.org/papers/IJRTI1707015.pdf
Issue
Volume 2 Issue 7,
July-2017
Pages : 85 - 89
Other Publication Details
Paper Reg. ID: IJRTI_170427
Published Paper Id: IJRTI1707015
Downloads: 205,619
Research Area: Engineering
Country: Hyderabad, Telangana, India
Published Paper PDF: https://ijrti.org/papers/IJRTI1707015
Published Paper URL: https://ijrti.org/viewpaperforall?paper=IJRTI1707015
About Publisher
ISSN: 2456-3315 | IMPACT FACTOR: 10.57 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters.
Publisher: IJRTI (JW Publication)
Licence
© 2017 — Authors hold the copyright of this article.
This work is licensed under a
Creative Commons Attribution 4.0 International License
and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0),
which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
