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The Marple algorithm for the autoregressive spectral estimates of the SMMW fourier transform spectroscopy data

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Abstract

The Marple algorthm for the autoregressive spectral estimates has been applied to the SMMW Fourier transform spectrum analysis. The experimental results have shown that this method yields AR spectra with three times higher resolution than the FFT method does. The improvements obtained from the Marple algorithm over the maximum entropy algorithm include higher resolution, less bias in the spectral peak frequency estimation and absence of observed spectral line splitting. The effects of the structure of the spectral lines and the noise on the resolution are discussed.

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Authors and Affiliations

  1. Electronics Department, Zhongshan University, Guangzhou, People's Republic of China

    Zhang Guangzhao & Zhou Guangqun

Authors
  1. Zhang Guangzhao
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  2. Zhou Guangqun
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Projects supported by National Natural Science Foundation of China

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Guangzhao, Z., Guangqun, Z. The Marple algorithm for the autoregressive spectral estimates of the SMMW fourier transform spectroscopy data. Int J Infrared Milli Waves 10, 257–267 (1989). https://doi.org/10.1007/BF01011241

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  • DOI: https://doi.org/10.1007/BF01011241

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