Statistical signal processing : frequency estimation /

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Bibliographic Details
Author / Creator:Nandi, Swagata, author.
Edition:Second edition.
Imprint:Singapore : Springer, [2020]
Description:1 online resource
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12608246
Hidden Bibliographic Details
Other authors / contributors:Kundu, Debasis, author.
ISBN:9789811562808
9811562806
9811562792
9789811562792
Language / Script:Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
Notes:Debasis Kundu's name appeared first on first edition.
Includes bibliographical references and index.
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Description based on online resource; title from digital title page (viewed on September 22, 2020).
Summary: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.--
Other form:Original 9811562792 9789811562792
Standard no.:10.1007/978-981-15-6
10.1007/978-981-15-6280-8