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Iterative Hard Thresholding Using Least Squares Initialization

  • Bamrung Tausiesakul
  • Srinakharinwirot University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

An improvement of the typical iterative hard thresholding (IHT) algorithm is presented by means of least squares initialization. Unlike the initialization that assigns all zeros to the initial estimate, the linearized least squares estimate is instead adopted herein. Numerical examples are conducted under a sparse signal recovery problem. Performance of the proposed approach in terms of root-mean-square relative error (RMSRE), computational time, and memory consumption is compared to the typical IHT algorithm. It is shown in numerical example that a good initialization can deliver lower RMSRE, less computational time, and less memory requirement.

Original languageEnglish
Title of host publicationProceedings - 2022 IEEE 11th International Conference on Communication Systems and Network Technologies, CSNT 2022
EditorsG.S. Tomar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages612-615
Number of pages4
ISBN (Electronic)9781665480383
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event11th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2022 - Indore, India
Duration: 23 Apr 2022 → 24 Apr 2022

Publication series

NameProceedings - 2022 IEEE 11th International Conference on Communication Systems and Network Technologies, CSNT 2022

Conference

Conference11th IEEE International Conference on Communication Systems and Network Technologies, CSNT 2022
Country/TerritoryIndia
CityIndore
Period23/04/22 → 24/04/22

Keywords

  • Iterative hard thresholding
  • compressive sensing
  • linear least squares

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