Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/27377
ชื่อเรื่อง: Soft Homotopy through Moore-Penrose Inverse
ผู้แต่ง: Tausiesakul B.
Keywords: Compressive sensing
homotopy algorithm
soft thresholding
วันที่เผยแพร่: 2022
สำนักพิมพ์: Institute of Electrical and Electronics Engineers Inc.
บทคัดย่อ: The acquisition of a discrete-time signal is an important part of a compressive sensing problem. A fine algorithm that could bring better signal recovery performance is often called for. In this work, two homotopy algorithms that involve a soft thresholding decision are proposed using the Moore-Penrose inverse. The additional complexity required in the two proposed methods is relatively minimal, since the necessary matrix inverse (AA⊺)-1 and the matrix multiplication A⊺(AA⊺)-1 can be done before the iteration starts, where ·⊺ is the transpose. Numerical examples illustrate the improved error performance for different values of the shrinking parameter γ. It is found that the greater the shrinking parameter, the less the signal recovery error one could obtain from the two new approaches. © 2022 IEEE.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137782224&doi=10.1109%2fCIVEMSA53371.2022.9853651&partnerID=40&md5=c042dcc231a0a9ac24b530091e62b551
https://ir.swu.ac.th/jspui/handle/123456789/27377
Appears in Collections:Scopus 2022

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