Logo - springer
Slogan - springer

Statistics - Computational Statistics | Statistical Signal Processing - Frequency Estimation

Statistical Signal Processing

Frequency Estimation

Kundu, Debasis, Nandi, Swagata

2012, XVII, 132 p. 21 illus.

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$29.95

(net) price for USA

ISBN 978-81-322-0628-6

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$39.95

(net) price for USA

ISBN 978-81-322-0627-9

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • First book on this topic written mainly for Statisticians
  • State-of-the-art literature survey on frequency estimation, and several open problems discussed for future research
  • One chapter devoted solely for data analysis, which will further better understanding
Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques. The main aim of this book is to introduce different signal processing models which have been used in analyzing periodic data, and different statistical and computational issues involved in solving them. We discuss in detail the sinusoidal frequency model which has been used extensively in analyzing periodic data occuring in various fields. We have tried to introduce different associated models and higher dimensional statistical signal processing models which have been further discussed in the literature. Different real data sets have been analyzed to illustrate how different models can be used in practice. Several open problems have been indicated for future research.

Content Level » Graduate

Keywords » Convergence - Information Theoretic Criterion - Least-squares Estimators - Rate of Convergence - Sinusoidal Frequency

Related subjects » Computational Intelligence and Complexity - Computational Science & Engineering - Computational Statistics - Physical & Information Science

Table of contents / Preface / Sample pages 

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Statistics and Computing / Statistics Programs.