Stable signal and image reconstruction from noisy Fourier transform phase

被引：2

作者：

Lyuboshenko, I ^{[1
]}

Akhmetshin, A

机构：

[1] Ecole Natl Super Telecommun, Dept TSI, Paris, France

[2] Dnipropetrovsk State Univ, Fac Radiophys, Dept Informat Proc Syst, Dnipropetrovsk, Ukraine

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1999年 / 47卷 / 01期

关键词：

correlation matrix; eigenvalues and eigenvectors; ill-posed problem; phase; regularization; stability; variance;

D O I：

10.1109/78.738264

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The problem of reconstruction of finite signals and images from the noisy Fourier transform phase is addressed. The problem is pointed out to be ill-posed with respect to distortion in the phase. Regularizing reconstruction algorithms are proposed that significantly improve estimates of signals or images reconstructed from their noisy phases.

引用

页码：244 / 250

页数：7

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