Sparse Time-Frequency Distribution Reconstruction Using the Adaptive Compressed Sensed Area Optimized with the Multi-Objective Approach

Sparse Time-Frequency Distribution Reconstruction Using the Adaptive Compressed Sensed Area Optimized with the Multi-Objective Approach

Compressive sensing (CS) of the signal ambiguity function (AF) and enforcing the sparsity constraint on the resulting signal time-frequency distribution (TFD) has been shown to be an efficient method for time-frequency signal processing. This paper proposes a method for adaptive CS-AF area selection...

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Bibliographic Details
Main Authors: Vedran Jurdana, Nikola Lopac, Miroslav Vrankic
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Sensors
Subjects:
time-frequency distribution
sparse signal reconstruction
compressive sensing
Rényi entropy
multi-objective meta-heuristic optimization
Online Access:https://www.mdpi.com/1424-8220/23/8/4148

Internet

https://www.mdpi.com/1424-8220/23/8/4148

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