Publication detail

Impact of Applied Transform on Accuracy of Energetic Analysis Method.

KHADDOUR, H. KURC, D.

Original Title

Impact of Applied Transform on Accuracy of Energetic Analysis Method.

English Title

Impact of Applied Transform on Accuracy of Energetic Analysis Method.

Type

conference paper

Language

en

Original Abstract

This paper presents a method for sound source direction estimation called Energetic analysis method, and studies the influence of the localization of the signal in the time and the frequency domains on the accuracy of this method. The resolution in time-frequency domain differs depending on the used transform. The results of this method are presented in this paper when different transforms are used, namely short-time Fourier transform, zero-padding STFT, and Gabor transform.

English abstract

This paper presents a method for sound source direction estimation called Energetic analysis method, and studies the influence of the localization of the signal in the time and the frequency domains on the accuracy of this method. The resolution in time-frequency domain differs depending on the used transform. The results of this method are presented in this paper when different transforms are used, namely short-time Fourier transform, zero-padding STFT, and Gabor transform.

Keywords

Sound source localization, Energetic analysis method, STFT, Zero-padding, Gabor transform.

RIV year

2013

Released

02.07.2013

ISBN

978-1-4799-0403-7

Book

36th International Conference on Telecommunications and Signal Processing (TSP).

Pages from

1

Pages to

5

Pages count

5

Documents

BibTex


@inproceedings{BUT100848,
  author="Hasan {Khaddour} and David {Kurc}",
  title="Impact of Applied Transform on Accuracy of Energetic Analysis Method.",
  annote="This paper presents a method for sound source direction estimation called Energetic analysis method, and studies the influence of the localization of the signal in the time and the frequency domains on the accuracy of this method. The resolution in time-frequency domain differs depending on the used transform. The results of this method are presented in this paper when different transforms are used, namely short-time Fourier transform, zero-padding STFT, and Gabor transform.",
  booktitle="36th International Conference on Telecommunications and Signal Processing (TSP).",
  chapter="100848",
  howpublished="electronic, physical medium",
  year="2013",
  month="july",
  pages="1--5",
  type="conference paper"
}