DocumentCode
2345718
Title
Nonparametric estimation of a class of smooth functions
Author
Pawlak, M. ; Stadtmüller, U.
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fYear
1994
fDate
27-29 Oct 1994
Firstpage
71
Abstract
The problem of recovering bandlimited signals from noisy data is considered. Whittaker-Shannon cardinal expansions based estimates involving sampling windows and truncation of higher frequencies are introduced. Weak and strong pointwise convergence properties of the proposed estimates are derived
Keywords
convergence of numerical methods; estimation theory; functional analysis; noise; nonparametric statistics; signal sampling; smoothing methods; Whittaker-Shannon cardinal expansions; bandlimited signals recovery; higher frequencies truncation; noisy data; nonparametric estimation; sampling windows; smooth functions; statistical properties; strong pointwise convergence properties; weak pointwise convergence properties; Bandwidth; Convergence; Convolution; Fourier transforms; Frequency estimation; Information theory; Kernel; Noise generators; Noise measurement; Sampling methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Conference_Location
Alexandria, VA
Print_ISBN
0-7803-2761-6
Type
conf
DOI
10.1109/WITS.1994.513900
Filename
513900
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