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
Link To Document :
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