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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
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| Paper Title: | The Adaptive and Non-Adaptive Compressed Sensing Based on Average-Frame Signal to Noise Ratio (AFSNR) |
| Authors Name: | Rayala Sateesh |
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| Author Reg. ID: |
IJRTI_170427
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| Published Paper Id: | IJRTI1707015 |
| Published In: | Volume 2 Issue 7, July-2017 |
| DOI: | |
| 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. |
| Keywords: | compressed sensing, Adaptive Sampling, Projection Matrix, AFSNR |
| Cite Article: | "The Adaptive and Non-Adaptive Compressed Sensing Based on Average-Frame Signal to Noise Ratio (AFSNR)", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 7, page no.85 - 89, July-2017, Available :http://www.ijrti.org/papers/IJRTI1707015.pdf |
| Downloads: | 000204835 |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI1707015
Registration ID:170427
Published In: Volume 2 Issue 7, July-2017
DOI (Digital Object Identifier):
Page No: 85 - 89 Country: Hyderabad, Telangana, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1707015 Published Paper PDF: https://www.ijrti.org/papers/IJRTI1707015 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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