Sparse Signal Representation, Sampling, and Recovery in Compressive Sensing Frameworks
Compressive sensing allows the reconstruction of original signals from a much smaller number of samples as compared to the Nyquist sampling rate. The effectiveness of compressive sensing motivated the researchers for its deployment in a variety of application areas. The use of an efficient sampling...
Main Authors: | Irfan Ahmed, Amaad Khalil, Ishtiaque Ahmed, Jaroslav Frnda |
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Format: | Article |
Language: | English |
Published: |
IEEE
2022-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9852418/ |
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