000 02658nam a22004578i 4500
001 CR9780511609602
003 UkCbUP
005 20200124160225.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 090910s2001||||enk o ||1 0|eng|d
020 _a9780511609602 (ebook)
020 _z9780521804462 (hardback)
020 _z9781107412859 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aTK5102.9
_b.Q85 2001
082 0 0 _a621.382/2
_221
100 1 _aQuinn, Barry G.,
_eauthor.
245 1 4 _aThe estimation and tracking of frequency /
_cB. G. Quinn, E. J. Hannan.
246 3 _aThe Estimation & Tracking of Frequency
264 1 _aCambridge :
_bCambridge University Press,
_c2001.
300 _a1 online resource (xi, 266 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aCambridge series on statistical and probabilistic mathematics ;
_v9
500 _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520 _aMany electronic and acoustic signals can be modelled as sums of sinusoids and noise. However, the amplitudes, phases and frequencies of the sinusoids are often unknown and must be estimated in order to characterise the periodicity or near-periodicity of a signal and consequently to identify its source. This 2001 book presents and analyses several practical techniques used for such estimation. The problem of tracking slow frequency changes over time of a very noisy sinusoid is also considered. Rigorous analyses are presented via asymptotic or large sample theory, together with physical insight. The book focuses on achieving extremely accurate estimates when the signal to noise ratio is low but the sample size is large. Each chapter begins with a detailed overview, and many applications are given. Matlab code for the estimation techniques is also included. The book will thus serve as an excellent introduction and reference for researchers analysing such signals.
650 0 _aSignal processing
_xMathematics.
650 0 _aSignal processing
_xData processing.
650 0 _aModulation (Electronics)
_xMathematical models.
650 0 _aTime-series analysis.
650 0 _aApproximation theory.
650 0 _aRadio frequency.
650 0 _aAudio frequency.
630 0 0 _aMATLAB.
700 1 _aHannan, E. J.
_q(Edward James),
_d1921-
_eauthor.
776 0 8 _iPrint version:
_z9780521804462
830 0 _aCambridge series on statistical and probabilistic mathematics ;
_v9.
856 4 0 _uhttps://doi.org/10.1017/CBO9780511609602
999 _c517101
_d517099