Polynomial Fourier domain as a domain of signal sparsity
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- 作者：Srdjan Stanković srdjan@ac.me" class="auth_mail" title="E-mail the corresponding author ; Irena Orović ; irenao@ac.me" class="auth_mail" title="E-mail the corresponding author ; Ljubi&scaron ; a Stanković ljubisa@ac.me" class="auth_mail" title="E-mail the corresponding author
- 关键词：Compressive sensing ; Signal reconstruction ; Sparsity ; Polynomial Fourier transform ; Local polynomial Fourier domain
- 刊名：Signal Processing
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：130
- 期：Complete
- 页码：243-253
- 全文大小：1866 K
文摘
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CS reconstruction of PPS signals with unknown phase parameters is considered.
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The proposed procedure is based on two-stage reconstruction algorithm.
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In the first stage the signal parameters are matched using threshold based algorithm.
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In the second stage the main CS problem is formulated using the PFT based CS matrix.
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The proposed approach detects parameters of all signal components at once.
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Allows fast performance for the considered types of PPS.