A Multipath Matching Pursuit algorithm Based on Improved-Inner Product Matching Criterion

Menghang Wu, Feiyun Wu, Kunde Yang, Tian Tian

科研成果: 书/报告/会议事项章节会议稿件同行评审

7 引用 (Scopus)

摘要

The traditional multipath matching pursuit (MMP) algorithm generally uses inner product matching criteria (IPMc) to select the best atom for signal reconstruction, and often lose some important information of atoms. Therefore, any two similar atoms of the observation matrix will affect the process of selecting the best atom for the residual signal, and reduce the quality of signal reconstruction. Using the improved inner product matching criteria (I-IPMc) improves the sensitivity of the MMP algorithm to atom values, optimizes the selection of support sets, and reduces the impact of similar atoms on the matching process. The simulation results show that under the same conditions, the MMP algorithm based on the I-IPMc has better reconstruction quality and higher signal reconstruction probability than the traditional MMP algorithm.

源语言英语
主期刊名ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781728172019
DOI
出版状态已出版 - 21 8月 2020
活动2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020 - Macau, 中国
期限: 21 8月 202023 8月 2020

出版系列

姓名ICSPCC 2020 - IEEE International Conference on Signal Processing, Communications and Computing, Proceedings

会议

会议2020 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2020
国家/地区中国
Macau
时期21/08/2023/08/20

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