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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.480464
