1971
DOI: 10.1007/bf00656134
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Further development and properties of the spectral analysis by least-squares

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Cited by 290 publications
(171 citation statements)
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“…Fortunately, Lomb (1976) developed a method of spectral analysis without such shortcomings. This method was based in part on earlier works by Barning (1963) and Vaníček (1971) and was elaborated further by Scargle (1982). They evaluate the spectra with the use of data that are actually measured, and, moreover, the measurements can be unevenly sampled.…”
Section: Data Selection and Analysis Proceduresmentioning
confidence: 99%
“…Fortunately, Lomb (1976) developed a method of spectral analysis without such shortcomings. This method was based in part on earlier works by Barning (1963) and Vaníček (1971) and was elaborated further by Scargle (1982). They evaluate the spectra with the use of data that are actually measured, and, moreover, the measurements can be unevenly sampled.…”
Section: Data Selection and Analysis Proceduresmentioning
confidence: 99%
“…The resulting time series was then frequency analyzed by means of the successive least-squares power spectrum technique for multiperiodic signals (Vaniĉek 1971;Antonello et al 1986). Due to the limited resolution of our data, at each iteration of our frequency analysis we replaced the frequencies of the deteced modes with the corresponding more accurate photometric values by Breger et al (1998).…”
Section: Radial Velocitiesmentioning
confidence: 99%
“…Four different methods, adapted to unequally spaced data, were used to perform the frequency analysis: Fourier, CLEAN (Roberts et al 1987), Vanicek (1971) and PDM algorithms (Stellingwerf 1978). A recurrent problem is the choice between the real frequency and its aliases.…”
Section: Frequency Analysismentioning
confidence: 99%
“…We thank Dr. G. Guerrero for the permission to use his code based on Vanicek's (1971) algorithm. We are grateful to Dr. Prof. C. Aerts and Dr. R. Garrido who helped us to improve this paper as well as to the anonymous referee.…”
mentioning
confidence: 99%