DocumentCode
2921377
Title
Interpolated Gaussian scale-space filters
Author
Estola, Kari-Pekka
Author_Institution
Nokia Mobile Phones, Salo, Finland
fYear
1990
fDate
3-6 Apr 1990
Firstpage
2073
Abstract
Computationally efficient interpolated Gaussian scale-space filters are introduced. The proposed scale-space filters incorporate multirate signal-processing methods and are realized using multistage filter structures. The scale-space filters can also be used in decimating the data, if desired. The proposed filtering methods require dramatically less computation than conventional Gaussian scale-space filtering, especially where the scale changes with an integer factor. The filters are extremely efficient when the change in scale is an integer power of an integer constant
Keywords
filtering and prediction theory; interpolation; signal processing; interpolated Gaussian scale-space filters; multirate signal-processing methods; multistage filter structures; Digital filters; Equations; Filtering; Filters; Finite impulse response filter; Fourier transforms; Frequency domain analysis; Frequency response; Kernel; Prototypes; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1990. ICASSP-90., 1990 International Conference on
Conference_Location
Albuquerque, NM
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1990.115938
Filename
115938
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