Title :
A study of inverse short-time fourier transform
Author_Institution :
Univ. of Stuttgart, Stuttgart
fDate :
March 31 2008-April 4 2008
Abstract :
In this paper, we study the inverse short-time Fourier transform (STFT). We propose a new vector formulation of STFT. We derive a family of inverse STFT estimators and a least squares one. We discuss their relationship and compare their performance with respect to both additive and multiplicative modifications to STFT. The influence of window, overlap, and zero-padding are investigated as well.
Keywords :
Fourier transforms; inverse problems; least squares approximations; signal processing; inverse STFT; least square estimation; short-time Fourier transform; signal processing applications; zero-padding; Blind source separation; Fourier transforms; Frequency estimation; Least squares approximation; Least squares methods; Signal analysis; Signal processing; Speech enhancement; Time frequency analysis; Time varying systems; inverse short-time Fourier transform; least squares methods; timefrequency analysis;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2008.4518416
