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The Resource Statistical signal processing : frequency estimation, Debasis Kundu, Swagata Nandi, (electronic resource)
Statistical signal processing : frequency estimation, Debasis Kundu, Swagata Nandi, (electronic resource)
Resource Information
The item Statistical signal processing : frequency estimation, Debasis Kundu, Swagata Nandi, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.This item is available to borrow from all library branches.
Resource Information
The item Statistical signal processing : frequency estimation, Debasis Kundu, Swagata Nandi, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Boston University Libraries.
This item is available to borrow from all library branches.
 Summary
 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
 Language
 eng
 Extent
 1 online resource.
 Contents

 1 Introduction
 2 Notations and Preliminaries
 3 Estimation of Frequencies
 4 Asymptotic Properties
 5 Estimating the Number of Components
 6 Real Data Example
 7 Multidimensional Models
 8 Related Models
 References
 Index
 Isbn
 9788132206286
 Label
 Statistical signal processing : frequency estimation
 Title
 Statistical signal processing
 Title remainder
 frequency estimation
 Statement of responsibility
 Debasis Kundu, Swagata Nandi
 Subject

 TECHNOLOGY & ENGINEERING  Signals & Signal Processing
 Mathematical statistics.
 COMPUTERS  Information Theory
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
 Signal processing  Statistical methods
 Statistics and Computing/Statistics Programs.
 Appl. Mathematics/Computational Methods of Engineering.
 Statistics.
 Signal Processing, ComputerAssisted
 Electronic resources
 Signal Processing, ComputerAssisted
 Algorithms.
 Signal processing  Statistical methods
 Signal processing  Statistical methods
 Signal processing  Statistical methods
 Engineering mathematics.
 Language
 eng
 Summary
 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
 Cataloging source
 GW5XE
 http://library.link/vocab/creatorName
 Kundu, Debasis
 Image bit depth
 0
 LC call number
 TK5102.9
 LC item number
 .K86 2012
 Literary form
 non fiction
 Nature of contents
 dictionaries
 NLM call number
 Online Book
 http://library.link/vocab/relatedWorkOrContributorName

 SpringerLink
 Nandi, Swagata
 Series statement
 SpringerBriefs in Statistics,
 http://library.link/vocab/subjectName

 Signal processing
 Signal Processing, ComputerAssisted
 COMPUTERS
 TECHNOLOGY & ENGINEERING
 Signal processing
 Label
 Statistical signal processing : frequency estimation, Debasis Kundu, Swagata Nandi, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 1 Introduction  2 Notations and Preliminaries  3 Estimation of Frequencies  4 Asymptotic Properties  5 Estimating the Number of Components  6 Real Data Example  7 Multidimensional Models  8 Related Models  References  Index
 Dimensions
 unknown
 Extent
 1 online resource.
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9788132206286
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)794672945
 (OCoLC)ocn794672945
 Label
 Statistical signal processing : frequency estimation, Debasis Kundu, Swagata Nandi, (electronic resource)
 Antecedent source
 mixed
 Carrier category
 online resource
 Carrier category code
 cr
 Carrier MARC source
 rdacarrier
 Color
 not applicable
 Content category
 text
 Content type code
 txt
 Content type MARC source
 rdacontent
 Contents
 1 Introduction  2 Notations and Preliminaries  3 Estimation of Frequencies  4 Asymptotic Properties  5 Estimating the Number of Components  6 Real Data Example  7 Multidimensional Models  8 Related Models  References  Index
 Dimensions
 unknown
 Extent
 1 online resource.
 File format
 multiple file formats
 Form of item

 online
 electronic
 Isbn
 9788132206286
 Level of compression
 uncompressed
 Media category
 computer
 Media MARC source
 rdamedia
 Media type code
 c
 Quality assurance targets
 absent
 Reformatting quality
 access
 Specific material designation
 remote
 System control number

 (OCoLC)794672945
 (OCoLC)ocn794672945
Subject
 Algorithms.
 Appl. Mathematics/Computational Methods of Engineering.
 COMPUTERS  Information Theory
 Electronic resources
 Engineering mathematics.
 Mathematical statistics.
 Signal Processing, ComputerAssisted
 Signal Processing, ComputerAssisted
 Signal processing  Statistical methods
 Signal processing  Statistical methods
 Signal processing  Statistical methods
 Signal processing  Statistical methods
 Statistics and Computing/Statistics Programs.
 Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
 Statistics.
 TECHNOLOGY & ENGINEERING  Signals & Signal Processing
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