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.
Cambridge University Press (Virtual Publishing)
|Country of origin:
||Cambridge Series in Statistical and Probabilistic Mathematics, 9
B. G. Quinn
• E.J. Hannan
||Electronic book text
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!