Work

Sparse Signal Reconstruction Using Refined Instantaneous Frequency Estimation

Year: 2024

Type: article

Abstract: In this study, we propose an instantaneous frequency (IF) estimation and then apply this algorithm for the reconstruction of missing samples. The proposed IF estimation and sparse reconstruction algorithm is developed by adding a refinement step where the crude estimates of IFs and signal components are further improved through the reestimation stage. During the re-estimation stage, both IFs, as well as the signal components, are re-estimated by removing all the remaining components. Experimental results indicate that the proposed strategy improves both the accuracy of IF estimates as well as missing samples.

Source: NED University Journal of Research

DOI: 10.35453//nedjr-ascn-2024-0009.r5

Authors: Sadiq Ali, Nabeel Ali Khan, Feroz Shah

Institutions: University of Engineering and Technology Peshawar, Nottingham Scientific (United Kingdom)

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4409336778

FWCI:

Cites: 30

Cited by:

Related to: 10