Statistical signal processing: frequency estimation

Title

Statistical signal processing: frequency estimation

Files

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Description

This book introduces readers to various signal processing models that have been used in analyzing periodic data and discuss the statistical and computational methods involved. Signal processing can broadly be considered to be the recovery of information from physical observations. The received signals are usually disturbed by thermal, electrical, atmospheric, or intentional interferences, and due to their random nature, statistical techniques play an important role in their analysis. Statistics is also used in the formulation of appropriate models to describe the behavior of systems, the development of appropriate techniques for estimation of model parameters, and the assessment of the model performances. Analyzing different real-world data sets to illustrate how different models can be used in practice, and highlighting open problems for future research, the book is a valuable resource for senior undergraduate and graduate students specializing in mathematics or statistics.

ISBN

978-981-15-6280-8

Publication Date

3-12-2020

Publisher

Springer Nature

City

Singapore

Keywords

Convergence, Information theoretic criterion, Least-squares estimators, Rate of convergence, Sinusoidal frequency, Chirp model, Periodogram function

Disciplines

Mathematics | Statistics and Probability

Comments

https://doi.org/10.1007/978-981-15-6280-8

  • Hardcover ISBN: 978-981-15-6279-2

  • Softcover ISBN: 978-981-15-6282-2

  • Edition: 2nd; Pages: XXIII, 265

  • Cost: Euro 84.99 (Softcover)

  • Cost: 119.99 (Hardcover)

Statistical signal processing: frequency estimation

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