ISBN: 9780521804462 - the estimation and tracking of frequency (cambridge series on statistical and probabilistic mathematics.) (6 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Zustand: New.

Zustand: New. This book presents practical techniques for estimating frequencies of signals. Includes Matlab code. For researchers. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 280 pages, indexes, references. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 17. Weight in Grams: 649. . 2001. Illustrated. hardcover. . . . . …

Zustand: New. This book presents practical techniques for estimating frequencies of signals. Includes Matlab code. For researchers. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 280 pages, indexes, references. BIC Classification: PBT; PBW. Category: (P) Professional & Vocational. Dimension: 247 x 174 x 17. Weight in Grams: 649. . 2001. Illustrated. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 266 pages. 10.00x7.00x0.75 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Many 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 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.…