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Statistical Signal Processing: Frequency Estimation
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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
Links to Related Works
Subject References:
Algorithms
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Applied mathematics
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Engineering mathematics
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Mathematical and Computational Engineering
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Statistics
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Statistics and Computing/Statistics Programs
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Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
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Authors:
author
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Kundu, Debasis
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Nandi, Swagata
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Corporate Authors:
SpringerLink (Online service)
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Classification:
519.5
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519.5 (DDC 23)
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