Shaila Dinkar Apte
Random Signal Processing (eBook, PDF)
91,95 €
91,95 €
inkl. MwSt.
Sofort per Download lieferbar
46 °P sammeln
91,95 €
Als Download kaufen
91,95 €
inkl. MwSt.
Sofort per Download lieferbar
46 °P sammeln
Jetzt verschenken
Alle Infos zum eBook verschenken
91,95 €
inkl. MwSt.
Sofort per Download lieferbar
Alle Infos zum eBook verschenken
46 °P sammeln
Shaila Dinkar Apte
Random Signal Processing (eBook, PDF)
- Format: PDF
- Merkliste
- Auf die Merkliste
- Bewerten Bewerten
- Teilen
- Produkt teilen
- Produkterinnerung
- Produkterinnerung
![](https://bilder.buecher.de/images/aktion/tolino/tolino-select-logo.png)
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei
bücher.de, um das eBook-Abo tolino select nutzen zu können.
Hier können Sie sich einloggen
Hier können Sie sich einloggen
Sie sind bereits eingeloggt. Klicken Sie auf 2. tolino select Abo, um fortzufahren.
![](https://bilder.buecher.de/images/aktion/tolino/tolino-select-logo.png)
Bitte loggen Sie sich zunächst in Ihr Kundenkonto ein oder registrieren Sie sich bei bücher.de, um das eBook-Abo tolino select nutzen zu können.
This book discusses random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The text progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing .
- Geräte: PC
- mit Kopierschutz
- eBook Hilfe
- Größe: 15.3MB
Andere Kunden interessierten sich auch für
- Shaila Dinkar ApteRandom Signal Processing (eBook, ePUB)91,95 €
- Athanasios Christou MicheasTheory of Stochastic Objects (eBook, PDF)47,95 €
- Robert ShumwayTime Series (eBook, PDF)71,95 €
- Randal DoucNonlinear Time Series (eBook, PDF)114,95 €
- Elizabeth Ann MaharajTime Series Clustering and Classification (eBook, PDF)47,95 €
- Alireza HaghighatMonte Carlo Methods for Particle Transport (eBook, PDF)52,95 €
- Ta-Hsin LiTime Series with Mixed Spectra (eBook, PDF)64,95 €
-
-
-
This book discusses random signals and random processes along with estimation of probability density function, estimation of energy spectral density and power spectral density. The text progressively introduce and explain the concepts of random signals and cover multiple applications for signal processing.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 462
- Erscheinungstermin: 15. August 2017
- Englisch
- ISBN-13: 9781498782012
- Artikelnr.: 49153975
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 462
- Erscheinungstermin: 15. August 2017
- Englisch
- ISBN-13: 9781498782012
- Artikelnr.: 49153975
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Dr. Shaila Dinkar Apte is currently working as a professor on PG side in Rajarshi Shahu College of Engineering, Pune and as reviewer for the International Journal of Speech Technology by Springer Publication, International Journal of Digital Signal Processing, Elsevier Publication. She is currently guiding 5 Ph.D. candidates. Eight candidates have completed their Ph.D. under her guidance. About 70 candidates completed their M.E. dissertations under her guidance. Almost all dissertations are in the area of signal processing. She has a vast teaching experience of 35 years in electronics engineering, and enjoys great popularity amongst students. She has been teaching Digital Signal Processing and Advanced Digital Signal Processing since last 22 years. Her previous designations include being an Assistant Professor in Walchand College of Engineering, Sangli, for 27 years; a member of board of studies for Shivaji University and a principle investigator for a research project sponsored by ARDE, New Delhi.
Dr. Shaila Dinkar Apte completed her M. Sc. (Electronics) from Mumbai University in 1976 and acquired the first rank. She then received her M.E. (Electronics) in 1991 from Walchand College of Engineering, Sangli and Ph.D. in 2001 in Electronics Engineering from Walchand College of Engineering, under Shivaji University, Kolhapur. Her Ph.D. thesis involved work on speaker modeling using optimal mother wavelet.
She has published 28 papers in reputed international journals, more than 40 papers in international conferences and about 15 papers in national conferences. She has a patent granted to her credit related to generation of mother wavelet from speech signal. Indian patent related to emotional speech synthesis is published. A book titled "Digital Signal Processing", "Advanced Digital Signal Processing" and "Speech and Audio Processing" are published by Wiley India. A second reprint of second edition of the first book is in the market. A book titled "Signals and Systems-Principles and applications" is published by Cambridge university press. Her areas of interest include emotional speech synthesis, emotion detection and context based personalized speech synthesis.
Dr. Shaila Dinkar Apte completed her M. Sc. (Electronics) from Mumbai University in 1976 and acquired the first rank. She then received her M.E. (Electronics) in 1991 from Walchand College of Engineering, Sangli and Ph.D. in 2001 in Electronics Engineering from Walchand College of Engineering, under Shivaji University, Kolhapur. Her Ph.D. thesis involved work on speaker modeling using optimal mother wavelet.
She has published 28 papers in reputed international journals, more than 40 papers in international conferences and about 15 papers in national conferences. She has a patent granted to her credit related to generation of mother wavelet from speech signal. Indian patent related to emotional speech synthesis is published. A book titled "Digital Signal Processing", "Advanced Digital Signal Processing" and "Speech and Audio Processing" are published by Wiley India. A second reprint of second edition of the first book is in the market. A book titled "Signals and Systems-Principles and applications" is published by Cambridge university press. Her areas of interest include emotional speech synthesis, emotion detection and context based personalized speech synthesis.
1. Introduction to Random Signals. 2. Properties of Random Variables. 3.
Multiple Random Variables and Random Process. 4. Detection and Estimation.
5. Fundamentals of Speech Processing. 6. Spectral Estimation of Random
Signals. 7. Statistical Speech processing. 8. Transform Domain Speech
Processing. 9. Image Processing Techniques. 10. Applications of Random
Signal Processing
Multiple Random Variables and Random Process. 4. Detection and Estimation.
5. Fundamentals of Speech Processing. 6. Spectral Estimation of Random
Signals. 7. Statistical Speech processing. 8. Transform Domain Speech
Processing. 9. Image Processing Techniques. 10. Applications of Random
Signal Processing
1. Introduction to Random Signals. 2. Properties of Random Variables. 3. Multiple Random Variables and Random Process. 4. Detection and Estimation. 5. Fundamentals of Speech Processing. 6. Spectral Estimation of Random Signals. 7. Statistical Speech processing. 8. Transform Domain Speech Processing. 9. Image Processing Techniques. 10. Applications of Random Signal Processing
1. Introduction to Random Signals. 2. Properties of Random Variables. 3.
Multiple Random Variables and Random Process. 4. Detection and Estimation.
5. Fundamentals of Speech Processing. 6. Spectral Estimation of Random
Signals. 7. Statistical Speech processing. 8. Transform Domain Speech
Processing. 9. Image Processing Techniques. 10. Applications of Random
Signal Processing
Multiple Random Variables and Random Process. 4. Detection and Estimation.
5. Fundamentals of Speech Processing. 6. Spectral Estimation of Random
Signals. 7. Statistical Speech processing. 8. Transform Domain Speech
Processing. 9. Image Processing Techniques. 10. Applications of Random
Signal Processing
1. Introduction to Random Signals. 2. Properties of Random Variables. 3. Multiple Random Variables and Random Process. 4. Detection and Estimation. 5. Fundamentals of Speech Processing. 6. Spectral Estimation of Random Signals. 7. Statistical Speech processing. 8. Transform Domain Speech Processing. 9. Image Processing Techniques. 10. Applications of Random Signal Processing