Isbn: 9781107412859 - the estimation and tracking of frequency (9 risultati)

Condizione: good. Book shows wear from use but remains a usable copy. May include writing highlighting underlining library markings. LISTING USES STOCK PHOTOS AND COVER MAY VARY. Ships via USPS and typically arrives within 10-12 business days.

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Paperback. Condizione: New.

Condizione: 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, black & white illustrations. BIC Classification: PBT; PBW; TJ. Category: (P) Professional & Vocational. Dimension: 255 x 179 x 19. Weight in Grams: 536. . 2013. Reprint. paperback. . . . . …

Condizione: 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, black & white illustrations. BIC Classification: PBT; PBW; TJ. Category: (P) Professional & Vocational. Dimension: 255 x 179 x 19. Weight in Grams: 536. . 2013. Reprint. paperback. . . . . Books ship from the US and Ireland. …

Taschenbuch. Condizione: 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.…

Paperback. Condizione: new. Paperback. 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. This book presents and analyses practical techniques for estimating the frequencies and amplitudes of the sinusoids making up signals. Rigorous results and physical insight are both given, focusing on noisy signals and large sample sizes. Many applications are described and Matlab code is also included. An excellent introduction and reference for researchers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents and analyses practical techniques for estimating the frequencies and amplitudes of the sinusoids making up signals. Rigorous results and physical insight are both given, focusing on noisy signals and large sample sizes. Many applications .…