JOURNAL ARTICLE

Time-varying spectral estimation using the instantaneous power spectrum (IPS)

R. HippenstielPaulo Moura Oliveira

Year: 1990 Journal:   IEEE Transactions on Acoustics Speech and Signal Processing Vol: 38 (10)Pages: 1752-1759   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The spectral content of time-varying signals is examined using a modified version of the instantaneous power spectrum (IPS). The short duration periodogram and the pseudo Wigner-Ville distribution (PWD) have been used extensively to display the time-varying spectral information. A disadvantage of the periodogram is its inherently poor resolution, due to the requirement of matching the resolution width to the spectral dynamics of the signal. Potential problems associated with PWD are spectral cross terms and an inability to resolve spectral components at the endpoints of the analysis segment. A modified version of IPS is shown to be less sensitive to these types of problems. In addition, IPS can work with real-valued signals sampled at the traditional Nyquist rate.< >

Keywords:
Periodogram Spectral density estimation Spectral resolution Spectral density Resolution (logic) SIGNAL (programming language) Algorithm Spectrum (functional analysis) Computer science Nyquist frequency Matching (statistics) Spectral power distribution Spectral leakage Power (physics) Spectral analysis Nyquist–Shannon sampling theorem Mathematics Spectral line Artificial intelligence Statistics Fast Fourier transform Fourier transform Telecommunications Physics Optics Mathematical analysis Bandwidth (computing) Computer vision

Metrics

43
Cited By
2.14
FWCI (Field Weighted Citation Impact)
18
Refs
0.89
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Power Quality and Harmonics
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing
Control Systems and Identification
Physical Sciences →  Engineering →  Control and Systems Engineering

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