Detail publikačního výsledku

Toward High-Quality Real-Time Signal Reconstruction from STFT Magnitude

PRŮŠA, Z.; RAJMIC, P.

Originální název

Toward High-Quality Real-Time Signal Reconstruction from STFT Magnitude

Anglický název

Toward High-Quality Real-Time Signal Reconstruction from STFT Magnitude

Druh

Článek WoS

Originální abstrakt

An efficient algorithm for real-time signal reconstruction from the magnitude of the short-time Fourier transform (STFT) is introduced. The proposed approach combines the strengths of two previously published algorithms: the Real-Time Phase Gradient Heap Integration (RTPGHI) and the Gnann and Spiertz’s Real-Time Iterative Spectrogram Inversion with Look-Ahead (GSRTISI-LA). An extensive comparison with the state-of-the-art algorithms in a reproducible manner is presented.

Anglický abstrakt

An efficient algorithm for real-time signal reconstruction from the magnitude of the short-time Fourier transform (STFT) is introduced. The proposed approach combines the strengths of two previously published algorithms: the Real-Time Phase Gradient Heap Integration (RTPGHI) and the Gnann and Spiertz’s Real-Time Iterative Spectrogram Inversion with Look-Ahead (GSRTISI-LA). An extensive comparison with the state-of-the-art algorithms in a reproducible manner is presented.

Klíčová slova

Time-frequency; short-time Fourier transform; STFT; phase reconstruction; real-time; spectrogram

Klíčová slova v angličtině

Time-frequency; short-time Fourier transform; STFT; phase reconstruction; real-time; spectrogram

Autoři

PRŮŠA, Z.; RAJMIC, P.

Rok RIV

2018

Vydáno

27.04.2017

ISSN

1070-9908

Periodikum

IEEE SIGNAL PROCESSING LETTERS

Svazek

24

Číslo

6

Stát

Spojené státy americké

Strany od

892

Strany do

896

Strany počet

5

URL

http://ieeexplore.ieee.org/document/7911250/

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@article{BUT135233,
  author="Zdeněk {Průša} and Pavel {Rajmic}",
  title="Toward High-Quality Real-Time Signal Reconstruction from STFT Magnitude",
  journal="IEEE SIGNAL PROCESSING LETTERS",
  year="2017",
  volume="24",
  number="6",
  pages="892--896",
  doi="10.1109/LSP.2017.2696970",
  issn="1070-9908",
  url="http://ieeexplore.ieee.org/document/7911250/"
}