DocumentCode
1653444
Title
DFT computation for overlapping data segments
Author
Stasinski, R.
Author_Institution
Inst. Elektroniki i Telekomunikacji, Politechnika Poznanska, Poland
fYear
1991
Firstpage
396
Abstract
A DFT algorithm for overlapping data segments requiring O (N logK ) and not the usual O (N logN ) operations is described. K is the number of new input data samples. The algorithm forms a basis for an improved block-filtering algorithm requiring O (N logK ) operations. The same computational complexity can be achieved for the adaptive version of block-filtering algorithm, if the improved algorithm for frequency-domain sampled filters is introduced
Keywords
adaptive filters; computational complexity; fast Fourier transforms; filtering and prediction theory; DFT algorithm; adaptive version; block-filtering algorithm; computational complexity; frequency-domain sampled filters; overlapping data segments; Adaptive filters; Computational complexity; Filtering algorithms; Flexible printed circuits; Frequency domain analysis; Spectral analysis; Telecommunication computing; Time frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrotechnical Conference, 1991. Proceedings., 6th Mediterranean
Conference_Location
LJubljana
Print_ISBN
0-87942-655-1
Type
conf
DOI
10.1109/MELCON.1991.161860
Filename
161860
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