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Cyclostationary Processes and Time Series

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Cyclostationary Processes and Time Series
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  • Author : Antonio Napolitano
  • Publisher : Academic Press
  • Pages : 626 pages
  • ISBN : 0081027370
  • Rating : /5 from reviews
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Download or Read online Cyclostationary Processes and Time Series full in PDF, ePub and kindle. this book written by Antonio Napolitano and published by Academic Press which was released on 24 October 2019 with total page 626 pages. We cannot guarantee that Cyclostationary Processes and Time Series book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology. Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features. Presents the foundations and developments of the second- and higher-order theory of cyclostationary signals Performs signal analysis using both the classical stochastic process approach and the functional approach for time series Provides applications in signal detection and estimation, filtering, parameter estimation, source location, modulation format classification, and biological signal characterization Includes algorithms for cyclic spectral analysis along with Matlab/Octave code Provides generalizations of the classical cyclostationary model in order to account for relative motion between transmitter and receiver and describe irregular statistical cyclicity in the data

Cyclostationary Processes and Time Series

Cyclostationary Processes and Time Series
  • Author : Antonio Napolitano
  • Publisher : Academic Press
  • Release : 24 October 2019
GET THIS BOOK Cyclostationary Processes and Time Series

Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology. Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features. Presents the foundations

Modern Spectrum Analysis of Time Series

Modern Spectrum Analysis of Time Series
  • Author : Prabhakar S. Naidu
  • Publisher : CRC Press
  • Release : 25 October 1995
GET THIS BOOK Modern Spectrum Analysis of Time Series

Spectrum analysis can be considered as a topic in statistics as well as a topic in digital signal processing (DSP). This book takes a middle course by emphasizing the time series models and their impact on spectrum analysis. The text begins with elements of probability theory and goes on to introduce the theory of stationary stochastic processes. The depth of coverage is extensive. Many topics of concern to spectral characterization of Gaussian and non-Gaussian time series, scalar and vector time

Periodically Correlated Random Sequences

Periodically Correlated Random Sequences
  • Author : Harry L. Hurd,Abolghassem Miamee
  • Publisher : John Wiley & Sons
  • Release : 09 November 2007
GET THIS BOOK Periodically Correlated Random Sequences

Uniquely combining theory, application, and computing, this book explores the spectral approach to time series analysis The use of periodically correlated (or cyclostationary) processes has become increasingly popular in a range of research areas such as meteorology, climate, communications, economics, and machine diagnostics. Periodically Correlated Random Sequences presents the main ideas of these processes through the use of basic definitions along with motivating, insightful, and illustrative examples. Extensive coverage of key concepts is provided, including second-order theory, Hilbert spaces, Fourier

Cyclostationarity Theory and Methods III

Cyclostationarity Theory and Methods III
  • Author : Fakher Chaari,Jacek Leskow,Antonio Napolitano,Radoslaw Zimroz,Agnieszka Wylomanska
  • Publisher : Springer
  • Release : 25 February 2017
GET THIS BOOK Cyclostationarity Theory and Methods III

This book gathers contributions presented at the 9th Workshop on Cyclostationary Systems and Their Applications, held in Gródek nad Dunajcem, Poland in February 2016. It includes both theory-oriented and practice-oriented chapters. The former focus on heavy-tailed time series and processes, PAR models, rational spectra for PARMA processes, covariance invariant analysis, change point problems, and subsampling for time series, as well as the fraction-of-time approach, GARMA models and weak dependence. In turn, the latter report on case studies of various mechanical

Representation and Estimation of Cyclostationary Processes

Representation and Estimation of Cyclostationary Processes
  • Author : William A. Gardner
  • Publisher : Unknown
  • Release : 24 June 1972
GET THIS BOOK Representation and Estimation of Cyclostationary Processes

Random signal processes which have been subjected to some form of repetitive operation such a sampling, scanning or multiplexing will usually exhibit statistical properties which vary periodically with time. Systems analysts have tended, for the most part, to treat these cyclostationary processes as though they were stationary. This is done simply by averaging the statistical parameters (mean, variance, etc.) over one cycle. The first chapter of the report features a detailed historical account of the development and application of cyclostationary

Generalizations of Cyclostationary Signal Processing

Generalizations of Cyclostationary Signal Processing
  • Author : Antonio Napolitano
  • Publisher : John Wiley & Sons
  • Release : 07 December 2012
GET THIS BOOK Generalizations of Cyclostationary Signal Processing

The relative motion between the transmitter and the receivermodifies the nonstationarity properties of the transmitted signal.In particular, the almost-cyclostationarity property exhibited byalmost all modulated signals adopted in communications, radar,sonar, and telemetry can be transformed into more general kinds ofnonstationarity. A proper statistical characterization of thereceived signal allows for the design of signal processingalgorithms for detection, estimation, and classification thatsignificantly outperform algorithms based on classical descriptionsof signals.Generalizations of Cyclostationary SignalProcessing addresses these issues and includes thefollowing key features: