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| 02462cam 2200409zi 4500 |
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| 001 | 9.894719 |
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| 003 | CaOODSP |
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| 005 | 20221107173824 |
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| 006 | m o d f |
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| 007 | cr bn||||||||| |
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| 008 | 201215s1979 onca ob f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 043 | |an-cn--- |
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| 086 | 1 |aCo24-3/7-1326-1979E-PDF |
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| 100 | 1 |aHerring, R. W., |eauthor. |
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| 245 | 12|aA comparison of the Burg and the known-autocorrelation autoregressive spectral analysis of complex sinusoidal signals in additive white noise / |cby R.W. Herring. |
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| 264 | 1|aOttawa : |bCommunications Research Centre, |c1979. |
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| 300 | |a1 online resource (iii, 35 pages) : |billustrations. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aCRC report ; |vno. 1326 |
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| 500 | |a"Radio and Radar Research Branch." |
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| 500 | |a"September 1979." |
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| 500 | |aDigitized edition from print [produced by Innovation, Science and Economic Development Canada]. |
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| 504 | |aIncludes bibliographical references (pages 32-33). |
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| 520 | |a"Burg's algorithm for Maximum Entropy autoregressive spectral estimation is analyzed for the cases of one and two complex sinusoidal signals in additive white noise. For the latter case are found two biases which can account for the line splitting and line shifting that occur in simulation studies when the SNR is very high. These biases vanish completely if the two complex sinusoids are in phase quadrature at the middle of the data record; if there is an integral number of half-cycles of difference frequency contained in the data record, then the power level of the spectral estimate will be biased although the effects believed to causesplitting and shifting will be eliminated. Results of simulation studies to support these conjectures are presented"--Abstract, page 1. |
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| 650 | 0|aSignal theory (Telecommunication) |
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| 650 | 0|aRadiofrequency spectroscopy. |
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| 650 | 0|aRandom noise theory. |
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| 650 | 6|aThéorie du signal (Télécommunications) |
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| 650 | 6|aSpectroscopie des radiofréquences. |
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| 650 | 6|aThéorie du bruit aléatoire. |
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| 710 | 2 |aCommunications Research Centre (Canada), |eissuing body. |
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| 830 | #0|aCRC report ;|vno. 1326.|w(CaOODSP)9.882492 |
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| 856 | 40|qPDF|s1.25 MB|uhttps://publications.gc.ca/collections/collection_2020/isde-ised/Co24/Co24-3-7-1326-1979-eng.pdf |
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