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Statistical Signal Processing: Frequency Estimation

Statistical Signal Processing: Frequency Estimation
Catalogue Information
Field name Details
Dewey Class 519.5
Title Statistical Signal Processing ([EBook]) : Frequency Estimation / by Swagata Nandi, Debasis Kundu.
Author Nandi, Swagata
Added Personal Name Kundu, Debasis
Other name(s) SpringerLink (Online service)
Edition statement 2nd ed. 2020.
Publication Singapore : Springer Singapore , 2020.
Physical Details XXIII, 265 p. 53 illus., 22 illus. in color. : online resource.
ISBN 9789811562808
Summary Note This book introduces readers to various signal processing models that have been used in analyzing periodic data, and discusses 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.:
Contents note Introduction -- Preliminaries -- Methods of Estimation - Iterative -- Methods of Estimation - Non-iterative -- Asymptotic Results (of Sinusoidal model) -- Order estimation -- Fundamental Frequency Model and its generalization -- Data Analysis -- Two dimensional and multidimensional models -- Chirp Signal Model -- Random Amplitudes -- Related Models -- Appendices.
Mode of acces to digital resource Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format
System details note Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site https://doi.org/10.1007/978-981-15-6280-8
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