PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION: Spectrum Estimation based on Relation Function - Tapa blanda
Sinopsis
Processing of signals either in time or in frequency domain is well established.Second order statistics(SOS)of Complex random signals are usually described by Covariance function(CF).In some cases, CF is not sufficient to completely describe SOS of complex random signals.For this purpose a new moment called Relation function(RF)is used.This thesis aims at processing of complex random signals using RF and Group delay functions(GDF).The concept of RF and its properties have been presented. Spectrum estimation of complex signals using RF and GDF(MGD &PGD)has been proposed.It is proved that pole or zero of a complex systems can be uniquely determined by RF approach.The concept of analytical signal spectrum estimation based on RF and GDF has been presented.It is shown that even at low SNR Spectrum of analytical signals can be clearly estimated with high resolution.The concept of RF has been extended to estimate the spectral components of 1st&2nd order dynamical systems.The concept of estimating wind profiles based on RF and GDF has been proposed.To check the superiority of RF results obtained based on the RF & GDF have been compared with that of CF.
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Reseña del editor
Processing of signals either in time or in frequency domain is well established.Second order statistics(SOS)of Complex random signals are usually described by Covariance function(CF).In some cases, CF is not sufficient to completely describe SOS of complex random signals.For this purpose a new moment called Relation function(RF)is used.This thesis aims at processing of complex random signals using RF and Group delay functions(GDF).The concept of RF and its properties have been presented. Spectrum estimation of complex signals using RF and GDF(MGD &PGD)has been proposed.It is proved that pole or zero of a complex systems can be uniquely determined by RF approach.The concept of analytical signal spectrum estimation based on RF and GDF has been presented.It is shown that even at low SNR Spectrum of analytical signals can be clearly estimated with high resolution.The concept of RF has been extended to estimate the spectral components of 1st&2nd order dynamical systems.The concept of estimating wind profiles based on RF and GDF has been proposed.To check the superiority of RF results obtained based on the RF & GDF have been compared with that of CF.
Biografía del autor
Dr.T.Jayachandra,(Jan'1963)obtained B.Tech (ECE)(JNTU,HYD), ME(AE(CIT-BU-CBE)and Ph.D(CSP)from JNTU,HYD.At Present he is Professor in ECE at RAJEEV GANDHI MEMORIAL COLLEGE OF ENGINEERING AND TECHNOLOGY (RGMCET),NANDYAL,KURNOOL(dt),INDIA. He published 18 technical papers in International and National Journals.He has Membership in IEEE,FIE(I)
Dr.T.Jayachandra,(Jan'1963)obtained B.Tech (ECE)(JNTU,HYD), ME(AE(CIT-BU-CBE)and Ph.D(CSP)from JNTU,HYD.At Present he is Professor in ECE at RAJEEV GANDHI MEMORIAL COLLEGE OF ENGINEERING AND TECHNOLOGY (RGMCET),NANDYAL,KURNOOL(dt),INDIA. He published 18 technical papers in International and National Journals.He has Membership in IEEE,FIE(I)
Dr.T.Jayachandra,(Jan'1963)obtained B.Tech (ECE)(JNTU,HYD), ME(AE(CIT-BU-CBE)and Ph.D(CSP)from JNTU,HYD.At Present he is Professor in ECE at RAJEEV GANDHI MEMORIAL COLLEGE OF ENGINEERING AND TECHNOLOGY (RGMCET),NANDYAL,KURNOOL(dt),INDIA. He published 18 technical papers in International and National Journals.He has Membership in IEEE,FIE(I)
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PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION
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LAP LAMBERT Academic Publishing Nov 2010, 2010
ISBN 10: 3843372853
ISBN 13: 9783843372855
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Processing of signals either in time or in frequency domain is well established.Second order statistics(SOS)of Complex random signals are usually described by Covariance function(CF).In some cases, CF is not sufficient to completely describe SOS of complex random signals.For this purpose a new moment called Relation function(RF)is used.This thesis aims at processing of complex random signals using RF and Group delay functions(GDF).The concept of RF and its properties have been presented. Spectrum estimation of complex signals using RF and GDF(MGD &PGD)has been proposed.It is proved that pole or zero of a complex systems can be uniquely determined by RF approach.The concept of analytical signal spectrum estimation based on RF and GDF has been presented.It is shown that even at low SNR Spectrum of analytical signals can be clearly estimated with high resolution.The concept of RF has been extended to estimate the spectral components of 1st&2nd order dynamical systems.The concept of estimating wind profiles based on RF and GDF has been proposed.To check the superiority of RF results obtained based on the RF & GDF have been compared with that of CF. 84 pp. Englisch. Nº de ref. del artículo: 9783843372855
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PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843372853
ISBN 13: 9783843372855
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: TALARI JAYACHANDRA PRASADDr.T.Jayachandra,(Jan 1963)obtained B.Tech (ECE)(JNTU,HYD), ME(AE(CIT-BU-CBE)and Ph.D(CSP)from JNTU,HYD.At Present he is Professor in ECE at RAJEEV GANDHI MEMORIAL COLLEGE OF ENGINEERING AND TECHNOLOGY (RGM. Nº de ref. del artículo: 5467192
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PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION
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LAP LAMBERT Academic Publishing Nov 2010, 2010
ISBN 10: 3843372853
ISBN 13: 9783843372855
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Processing of signals either in time or in frequency domain is well established.Second order statistics(SOS)of Complex random signals are usually described by Covariance function(CF).In some cases, CF is not sufficient to completely describe SOS of complex random signals.For this purpose a new moment called Relation function(RF)is used.This thesis aims at processing of complex random signals using RF and Group delay functions(GDF).The concept of RF and its properties have been presented. Spectrum estimation of complex signals using RF and GDF(MGD &PGD)has been proposed.It is proved that pole or zero of a complex systems can be uniquely determined by RF approach.The concept of analytical signal spectrum estimation based on RF and GDF has been presented.It is shown that even at low SNR Spectrum of analytical signals can be clearly estimated with high resolution.The concept of RF has been extended to estimate the spectral components of 1st&2nd order dynamical systems.The concept of estimating wind profiles based on RF and GDF has been proposed.To check the superiority of RF results obtained based on the RF & GDF have been compared with that of CF.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch. Nº de ref. del artículo: 9783843372855
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PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION : Spectrum Estimation based on Relation Function
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LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843372853
ISBN 13: 9783843372855
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Processing of signals either in time or in frequency domain is well established.Second order statistics(SOS)of Complex random signals are usually described by Covariance function(CF).In some cases, CF is not sufficient to completely describe SOS of complex random signals.For this purpose a new moment called Relation function(RF)is used.This thesis aims at processing of complex random signals using RF and Group delay functions(GDF).The concept of RF and its properties have been presented. Spectrum estimation of complex signals using RF and GDF(MGD &PGD)has been proposed.It is proved that pole or zero of a complex systems can be uniquely determined by RF approach.The concept of analytical signal spectrum estimation based on RF and GDF has been presented.It is shown that even at low SNR Spectrum of analytical signals can be clearly estimated with high resolution.The concept of RF has been extended to estimate the spectral components of 1st&2nd order dynamical systems.The concept of estimating wind profiles based on RF and GDF has been proposed.To check the superiority of RF results obtained based on the RF & GDF have been compared with that of CF. Nº de ref. del artículo: 9783843372855
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PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION | Spectrum Estimation based on Relation Function
Publicado por
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3843372853
ISBN 13: 9783843372855
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Taschenbuch. Condición: Neu. PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION | Spectrum Estimation based on Relation Function | Jayachandra Prasad Talari (u. a.) | Taschenbuch | 84 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843372855 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 107225738
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PROCESSING OF COMPLEX SIGNALS USING RELATION FUNCTION: Spectrum Estimation based on Relation Function
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ISBN 10: 3843372853
ISBN 13: 9783843372855
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