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The Estimation and Tracking of Frequency (Electronic book text)
The Estimation and Tracking of Frequency (Electronic book text): B. G. Quinn, E.J. Hannan
The Estimation and Tracking of Frequency (Electronic book text): B. G. Quinn, E.J. Hannan

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The Estimation and Tracking of Frequency (Electronic book text)

B. G. Quinn, E.J. Hannan

Series: Cambridge Series in Statistical and Probabilistic Mathematics, 9

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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.

General

Imprint: Cambridge University Press (Virtual Publishing)
Country of origin: United Kingdom
Series: Cambridge Series in Statistical and Probabilistic Mathematics, 9
Release date: August 2012
Authors: B. G. Quinn • E.J. Hannan
Format: Electronic book text
ISBN-13: 978-0-511-60960-2
Barcode: 9780511609602
Categories: Promotions
Books > Science & Mathematics > Mathematics > Applied mathematics
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Professional & Technical > Electronics & communications engineering
Books > Professional & Technical > Electronics & communications engineering > General
Books > Science & Mathematics > Mathematics > Probability & statistics
LSN: 0-511-60960-4

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