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Author: IEEE signal processing ATHOS workshop on higher order statistics
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: IEEE signal processing ATHOS workshop on higher order statistics
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 491
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Book Description
Author:
Publisher:
ISBN:
Category : Order statistics
Languages : en
Pages : 498
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Book Description
Author: Institute of Electrical and Electronics Engineers (New York, N.Y.)
Publisher:
ISBN:
Category :
Languages : un
Pages :
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Author:
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 496
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Book Description
This text covering the 1997 IEEE Signal Processing Workshop on High-Order Statistics is designed for researchers, professors, practitioners, students and other computing professionals.
Author:
Publisher:
ISBN: 9780769501413
Category : Order statistics
Languages : en
Pages : 406
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Book Description
Author:
Publisher:
ISBN:
Category : Order statistics
Languages : en
Pages : 428
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Book Description
Author:
Publisher:
ISBN:
Category : Electrical & Computer Engineering
Languages : en
Pages : 0
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Book Description
Author: J. G. McWhirter
Publisher: Oxford University Press
ISBN: 9780198507345
Category : Computers
Languages : en
Pages : 380
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Book Description
A selection of papers presented at the four-yearly IMA conference on Mathematics in Signal Processing. Covering a wide range of recent topics, including excellent review papers and original research.
Author: Antonio Napolitano
Publisher: Academic Press
ISBN: 0081027370
Category : Technology & Engineering
Languages : en
Pages : 626
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Book Description
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
