DocumentCode :
1113087
Title :
STFT computation using pruned FFT algorithms
Author :
Paneras, Demetrios E. ; Mani, Ramamurthy ; Nawab, S. Hamid
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Boston Univ., MA, USA
Volume :
1
Issue :
4
fYear :
1994
fDate :
4/1/1994 12:00:00 AM
Firstpage :
61
Lastpage :
63
Abstract :
We show that the discrete short-time Fourier transform with temporal decimation (DSTFT-TD) can be evaluated using a variety of pruned FFT structures. A pruning method we refer to as overlap pruning can be used to eliminate computational overlap between consecutive FFT´s for computing slices of the DSTFT-TD. When only a limited frequency range of the DSTFT-TD is of interest, further computational savings can be achieved by combining overlap pruning with classical frequency pruning. We evaluate the complexity of the overlap and frequency pruned FFT´s for the DSTFT-TD in terms of the number of complex multiplications and additions required for the computation of each DSTFT-TD slice.<>
Keywords :
computational complexity; fast Fourier transforms; signal processing; DSTFT-TD; FFT algorithms; addition; classical frequency pruning; complexity; computational overlap elimination; discrete short-time Fourier transform; multiplication; overlap pruning; pruning method; temporal decimation; Computational efficiency; Discrete Fourier transforms; FET integrated circuits; Fourier transforms; Frequency; Military computing; Power engineering computing; Signal analysis; Signal processing; Systems engineering and theory;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.295333
Filename :
295333
Link To Document :
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