NDLI: On Multiplicative Transfer Function Approximation in the Short-Time Fourier Transform Domain

Content Provider	IEEE Xplore Digital Library
Author	Avargel, Y. Cohen, I.
Copyright Year	1994
Abstract	The multiplicative transfer function (MTF) approximation is widely used for modeling a linear time invariant system in the short-time Fourier transform (STFT) domain. It relies on the assumption of a long analysis window compared with the length of the system impulse response. In this paper, we investigate the influence of the analysis window length on the performance of a system identifier that utilizes the MTF approximation. We derive analytic expressions for the minimum mean-square error (MMSE) in the STFT domain and show that the system identification performance does not necessarily improve by increasing the length of the analysis window. The optimal window length, that achieves the MMSE, depends on the signal-to-noise ratio and the length of the input signal. The theoretical analysis is supported by simulation results
Sponsorship	IEEE Signal Processing Society
Starting Page	337
Ending Page	340
Page Count	4
File Size	250225
File Format	PDF
ISSN	10709908
Volume Number	14
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transfer functions Function approximation Fourier transforms Performance analysis System identification Least squares approximation Frequency estimation Signal to noise ratio Analytical models Filters system identification Multiplicative transfer function short-time Fourier transform
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing Electrical and Electronic Engineering

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