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Proceedings of International Conference on Acoustics, Speech and Signal Processing (CASSP'02)

Warped discrete Fourier transform: A new concept in digital signal processing

Year: 2002, Volume: 2, Pages: II-1205-II-1208

Authors

S. Franz, Department of Electrical and Computer Engineering, University of California Santa Barbara, USA  
S. K. Mitra, Department of Electrical and Computer Engineering, University of California Santa Barbara, USA  
J. C. Schmidt, Department of Electrical and Computer Engineering, University of California Santa Barbara, USA  
G. Doblinger, Institute of Communications and Radio-Frequency Engineering, Vienna University of Technology, Austria
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Abstract

The recently introduced concept of warped discrete Fourier transform (WDFT) [2] is reviewed and its main properties are compared with that of their well-known DFT counterparts. A number of new applications, such as frequency estimation of noise-corrupted short length sinusoids, discrete multitone transmission, and oversampled nonuniform filter banks, are described. In addition, some important design issues, such as the sensitivity of computing the inverse WDFT, are included.
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