A novel simple adaptive spectral analysis zoom for narrow-band signals

Abdulnasir Hossen, Ulrich Heute

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In [1] a new spectral analysis zoom technique for narrow-band signal applications was presented. This zoom-technique is based on subband decomposition and linear prediction. The subband-decomposition idea applied to both FFT [2], [3] and DCT [4], [5] to find these transforms with less computations, is used in [1] in combination with the linear prediction algorithm to implement a new zoom technique with higher spectral resolution efficiency than other techniques. In this work the new algorithm computational complexity is studied. The zoom capability of this subband decomposition zoom technique is also explained by considering many factors such as the gain of the linear prediction modelling and the power spectral density and autocorrelation between the linear prediction coefficients [6]. The accuracy of the technique in terms of the prediction error and minimum allowable signal to noise ratio is also included in this paper. Finally, the adaptive capability of the subband-FFT is included in the zoom algorithm to select the band of most energy (the band to be zoomed).

Original languageEnglish
Title of host publicationEuropean Signal Processing Conference
PublisherEuropean Signal Processing Conference, EUSIPCO
Volume2015-March
Publication statusPublished - Mar 27 2015
Event11th European Signal Processing Conference, EUSIPCO 2002 - Toulouse, France
Duration: Sep 3 2002Sep 6 2002

Other

Other11th European Signal Processing Conference, EUSIPCO 2002
CountryFrance
CityToulouse
Period9/3/029/6/02

Fingerprint

Spectrum analysis
Decomposition
Fast Fourier transforms
Spectral resolution
Power spectral density
Autocorrelation
Computational complexity
Signal to noise ratio

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Hossen, A., & Heute, U. (2015). A novel simple adaptive spectral analysis zoom for narrow-band signals. In European Signal Processing Conference (Vol. 2015-March). [7071934] European Signal Processing Conference, EUSIPCO.

A novel simple adaptive spectral analysis zoom for narrow-band signals. / Hossen, Abdulnasir; Heute, Ulrich.

European Signal Processing Conference. Vol. 2015-March European Signal Processing Conference, EUSIPCO, 2015. 7071934.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Hossen, A & Heute, U 2015, A novel simple adaptive spectral analysis zoom for narrow-band signals. in European Signal Processing Conference. vol. 2015-March, 7071934, European Signal Processing Conference, EUSIPCO, 11th European Signal Processing Conference, EUSIPCO 2002, Toulouse, France, 9/3/02.
Hossen A, Heute U. A novel simple adaptive spectral analysis zoom for narrow-band signals. In European Signal Processing Conference. Vol. 2015-March. European Signal Processing Conference, EUSIPCO. 2015. 7071934
Hossen, Abdulnasir ; Heute, Ulrich. / A novel simple adaptive spectral analysis zoom for narrow-band signals. European Signal Processing Conference. Vol. 2015-March European Signal Processing Conference, EUSIPCO, 2015.
@inproceedings{19b2d9c2a29e45a2905dd6b42d2dad33,
title = "A novel simple adaptive spectral analysis zoom for narrow-band signals",
abstract = "In [1] a new spectral analysis zoom technique for narrow-band signal applications was presented. This zoom-technique is based on subband decomposition and linear prediction. The subband-decomposition idea applied to both FFT [2], [3] and DCT [4], [5] to find these transforms with less computations, is used in [1] in combination with the linear prediction algorithm to implement a new zoom technique with higher spectral resolution efficiency than other techniques. In this work the new algorithm computational complexity is studied. The zoom capability of this subband decomposition zoom technique is also explained by considering many factors such as the gain of the linear prediction modelling and the power spectral density and autocorrelation between the linear prediction coefficients [6]. The accuracy of the technique in terms of the prediction error and minimum allowable signal to noise ratio is also included in this paper. Finally, the adaptive capability of the subband-FFT is included in the zoom algorithm to select the band of most energy (the band to be zoomed).",
author = "Abdulnasir Hossen and Ulrich Heute",
year = "2015",
month = "3",
day = "27",
language = "English",
volume = "2015-March",
booktitle = "European Signal Processing Conference",
publisher = "European Signal Processing Conference, EUSIPCO",

}

TY - GEN

T1 - A novel simple adaptive spectral analysis zoom for narrow-band signals

AU - Hossen, Abdulnasir

AU - Heute, Ulrich

PY - 2015/3/27

Y1 - 2015/3/27

N2 - In [1] a new spectral analysis zoom technique for narrow-band signal applications was presented. This zoom-technique is based on subband decomposition and linear prediction. The subband-decomposition idea applied to both FFT [2], [3] and DCT [4], [5] to find these transforms with less computations, is used in [1] in combination with the linear prediction algorithm to implement a new zoom technique with higher spectral resolution efficiency than other techniques. In this work the new algorithm computational complexity is studied. The zoom capability of this subband decomposition zoom technique is also explained by considering many factors such as the gain of the linear prediction modelling and the power spectral density and autocorrelation between the linear prediction coefficients [6]. The accuracy of the technique in terms of the prediction error and minimum allowable signal to noise ratio is also included in this paper. Finally, the adaptive capability of the subband-FFT is included in the zoom algorithm to select the band of most energy (the band to be zoomed).

AB - In [1] a new spectral analysis zoom technique for narrow-band signal applications was presented. This zoom-technique is based on subband decomposition and linear prediction. The subband-decomposition idea applied to both FFT [2], [3] and DCT [4], [5] to find these transforms with less computations, is used in [1] in combination with the linear prediction algorithm to implement a new zoom technique with higher spectral resolution efficiency than other techniques. In this work the new algorithm computational complexity is studied. The zoom capability of this subband decomposition zoom technique is also explained by considering many factors such as the gain of the linear prediction modelling and the power spectral density and autocorrelation between the linear prediction coefficients [6]. The accuracy of the technique in terms of the prediction error and minimum allowable signal to noise ratio is also included in this paper. Finally, the adaptive capability of the subband-FFT is included in the zoom algorithm to select the band of most energy (the band to be zoomed).

UR - http://www.scopus.com/inward/record.url?scp=84960873234&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84960873234&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2015-March

BT - European Signal Processing Conference

PB - European Signal Processing Conference, EUSIPCO

ER -