00000nam 2200000zi 4500 9.894719 CaOODSP 20221107173824 m o d f cr bn||||||||| 201215s1979 onca ob f000 0 eng d CaOODSP eng rda CaOODSP n-cn--- Co24-3/7-1326-1979E-PDF Herring, R. W., author. A comparison of the Burg and the known-autocorrelation autoregressive spectral analysis of complex sinusoidal signals in additive white noise / by R.W. Herring. Ottawa : Communications Research Centre, 1979. 1 online resource (iii, 35 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier CRC report ; no. 1326 "Radio and Radar Research Branch." "September 1979." Digitized edition from print [produced by Innovation, Science and Economic Development Canada]. Includes bibliographical references (pages 32-33). "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. Signal theory (Telecommunication) Radiofrequency spectroscopy. Random noise theory. Théorie du signal (Télécommunications) Spectroscopie des radiofréquences. Théorie du bruit aléatoire. Communications Research Centre (Canada), issuing body. CRC report ; no. 1326. (CaOODSP)9.882492 PDF 1.25 MB https://publications.gc.ca/collections/collection_2020/isde-ised/Co24/Co24-3-7-1326-1979-eng.pdf