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
收藏
页码：244 / 250
页数：7
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