Abstract
Nawab et al. [1] have shown that a signal can he reconstructed, under mild conditions, from knowledge of the magnitude of the short-time Fourier transform (STFT). The algorithm presented by Nawab for signal reconstruction requires knowledge of all of the STFT magnitude, regardless of window overlap. In this paper, we develop a general relationship between time and frequency sampling of the STFT magnitude. Specifically, we show that if an L point shift exists between adjacent windows in an STFT analysis, then almost any 2L samples of the STFT magnitude from each window are enough for signal reconstruction.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: IEEE Transactions on Acoustics, Speech, and Signal Processing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
