DocumentCode
295075
Title
Regularized extrapolation of noisy data with a wavelet signal model
Author
Lin, Li-Chien ; Kuo, C. C Jay
Author_Institution
Dept. of Electr. Eng., Feng Chia Univ., Taichung, Taiwan
Volume
2
fYear
1995
fDate
9-12 May 1995
Firstpage
1244
Abstract
The bandlimited signal model has been widely used and bandlimited extrapolation has been extensively studied and applied in signal reconstruction. We examine a regularization technique for robust data extrapolation based on the wavelet representation. We first formulate the regularization problem and characterize the properties of its solution. Then, a practical iterative algorithm is proposed to achieve robust extrapolation
Keywords
extrapolation; iterative methods; noise; signal reconstruction; wavelet transforms; bandlimited extrapolation; bandlimited signal model; iterative algorithm; noisy data; regularization technique; regularized extrapolation; robust extrapolation; wavelet representation; wavelet signal model; Array signal processing; Extrapolation; High-resolution imaging; Image reconstruction; Image resolution; Iterative algorithms; Robustness; Signal resolution; Spectral analysis; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location
Detroit, MI
ISSN
1520-6149
Print_ISBN
0-7803-2431-5
Type
conf
DOI
10.1109/ICASSP.1995.480464
Filename
480464
Link To Document