Signal Processing Applications Using Multidimensional Polynomial Splines / Dhananjay Singh, Madhusudan Singh, Zaynidinov Hakimjon
By: Singh, Dhananjay,, autor
Contributor(s): SpringerLink (Online service) | Singh, Madhusudan, autor | Hakimjon, Zaynidinov, autor
Series: (Engineering (Springer-11647)); (SpringerBriefs in Applied Sciences and Technology, 2191-530X).Publisher: Singapore : Springer Singapore : Imprint: Springer, 2019Description: 1 recurso en línea (XVII, 70 páginas) : 23 ilustraciones, 4 ilustraciones a color.ISBN: 9789811322396.Subject: Proceso de señales | Splines, Teoría de los | TelecomunicacionesOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TK5102.9 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062490 |
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| TK5102.9 2019 EB Multi-photon Quantum Secure Communication | TK5102.9 2019 EB Scalable Signal Processing in Cloud Radio Access Networks | TK5102.9 2019 EB Fundamentals of Spherical Array Processing | TK5102.9 2019 EB Signal Processing Applications Using Multidimensional Polynomial Splines | TK5102.9 2019 EB Principles and Applications of RELAX : A Robust and Universal Estimator | TK5102.9 2019 EB Handbook of Signal Processing Systems | TK5102.9 2019 EB Broadband Array Processing |
Introduction of Splines -- Description about Polynomial Splines for Signal processing -- One and multi polynomial Splines for Signal Processing -- Overview of Routing Protocols for WMNs -- Simulation Methods of Spline & Results -- Application of Splines. .
This book highlights new methods, algorithms and software for the digital processing and recovery of signals. In addition, it describes a new method for modeling one dimensional and multidimensional signals as successions of local polynomial splines and their spectral characteristics. It provides examples of how the proposed methods can be applied in specific cases, together with signal processing software examples in the MATLAB environment, and models of special processes in the Simulink environment. The book's goal is to make it easier for beginners to understand the subject matter; it is intended for engineers, undergraduate and graduate students engaged in research or the evaluation and design of hardware and software for the digital processing and recovery of signals.
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