PHASELESS SUPER-RESOLUTION IN THE CONTINUOUS DOMAIN

被引：0

作者：

Cho, Myung ^{[1
]}

Thrampoulidis, Christos ^{[2
]}

Xu, Weiyu ^{[1
]}

Hassibi, Babak ^{[2
]}

机构：

[1] Univ Iowa, Dept ECE, Iowa City, IA 52242 USA

[2] CALTECH, Dept EE, Pasadena, CA 91125 USA

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2017年

关键词：

super-resolution; microscopy; phaseless; continuous domain; atomic norm; MATRIX PENCIL METHOD; HIGH-RESOLUTION; MICROSCOPY; PARAMETERS; RETRIEVAL;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Phaseless super-resolution refers to the problem of super-resolving a signal from only its low-frequency Fourier magnitude measurements. In this paper, we consider the phaseless super-resolution problem of recovering a sum of sparse Dirac delta functions which can be located anywhere in the continuous time-domain. For such signals in the continuous domain, we propose a novel Semidefinite Programming (SDP) based signal recovery method to achieve the phaseless super-resolution. This work extends the recent work of Jaganathan et al. [1], which considered phaseless super-resolution for discrete signals on the grid.

引用

页码：3814 / 3818

页数：5

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