Digital extrapolation spectral analysis based on ARMA model

Dong, Xiaojian; Zhu, Zhaoda

doi:10.1109/naecon.1992.220656

Proceedings of the IEEE 1992 National Aerospace and Electronics Conference@m_NAECON 1992

DOI: 10.1109/naecon.1992.220656

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Digital extrapolation spectral analysis based on ARMA model

Xiaojian Dong

Zhaoda Zhu

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Sparse frequency extrapolation of spectrograms

Akhtar

Olsen

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-The short-time Fourier transform is a prevalent method used to analyze the frequency composition of a signal as a function of time. In order to achieve high resolution in frequency a large sliding window needs to be applied which degrades the time resolution. This paper proposes the adoption of sparse reconstruction as a mean to extrapolate supplementary values in time domain for each segment. Over short durations a signal's frequency content is likely to contain a limited number of effective frequencies and a sparse regeneration approach can be advantageous as an extrapolating mechanism. An enlarged number of samples can thus yield spectrograms with high frequency resolution. The capabilities of the proposed techniques are demonstrated on several synthetic and real data signals.

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Sparse frequency extrapolation of spectrograms

Akhtar

Olsen

2017

2017 25th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

show abstract

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Digital extrapolation spectral analysis based on ARMA model

Cited by 1 publication

References 2 publications

Sparse frequency extrapolation of spectrograms

Sparse frequency extrapolation of spectrograms

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