Power spectral analysis of signal with time-varying characteristics
Author
Source
Al-Balqa` for Research and Studies
Issue
Vol. 5, Issue 1 (30 Jun. 1997), pp.41-60, 20 p.
Publisher
Publication Date
1997-06-30
Country of Publication
Jordan
No. of Pages
20
Main Subjects
Abstract EN
During the past two decades, the spectrogram method has widely used to analyze the characteristic of non-stationary signals.
In this paper, two of the power intensity of the signal algorithms for time-frequency characteristic of non-stationary signal are proposed, tested and compared to standard schemes.
The first algorithm is based on the continuous time-frequency characteristic and the second is based on the discrete time-frequency characteristic.
The performance of each algorithm is evaluated and compared to the existing standard spectrogram analysis.
The results show that the proposed power intensity waveform analysis provides very good performance in both continuous and discrete time - frequency characteristic for classical evaluation criteria, and for the preservation of data statistics.
The Fourier transform of the intensity of signals is computed in continuos and discrete form.
Two methods for the digital implementation of the proposed algorithm are suggested and described.
Moreover, It is shown that this algorithm is useful for detecting possible nonstationarity of signals.
Comparisons of the result with multiresolution analysis reveals that the prepared algorithm has better frequency resolution where as the wavelet transform shows higher time resolution.
American Psychological Association (APA)
al-Fauri, Mukhlid Fadil. 1997. Power spectral analysis of signal with time-varying characteristics. Al-Balqa` for Research and Studies،Vol. 5, no. 1, pp.41-60.
https://search.emarefa.net/detail/BIM-186793
Modern Language Association (MLA)
al-Fauri, Mukhlid Fadil. Power spectral analysis of signal with time-varying characteristics. Al-Balqa` for Research and Studies Vol. 5, no. 1 (Jun. 1997), pp.41-60.
https://search.emarefa.net/detail/BIM-186793
American Medical Association (AMA)
al-Fauri, Mukhlid Fadil. Power spectral analysis of signal with time-varying characteristics. Al-Balqa` for Research and Studies. 1997. Vol. 5, no. 1, pp.41-60.
https://search.emarefa.net/detail/BIM-186793
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references: p. 60
Record ID
BIM-186793