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190101 ||| eng |
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|a 9789811322396
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| 100 |
1 |
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|a Singh, Dhananjay
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| 245 |
0 |
0 |
|a Signal Processing Applications Using Multidimensional Polynomial Splines
|h Elektronische Ressource
|c by Dhananjay Singh, Madhusudan Singh, Zaynidinov Hakimjon
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| 250 |
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|a 1st ed. 2019
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2019, 2019
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| 300 |
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|a XVII, 70 p. 23 illus., 4 illus. in color
|b online resource
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| 505 |
0 |
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|a 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.
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| 653 |
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|a Wireless communication systems
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| 653 |
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|a Wireless and Mobile Communication
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| 653 |
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|a Mobile communication systems
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| 653 |
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|a Application software
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| 653 |
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|a Signal, Speech and Image Processing
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| 653 |
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|a Telecommunication
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| 653 |
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|a Communications Engineering, Networks
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| 653 |
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|a Computer and Information Systems Applications
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| 653 |
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|a Signal processing
|
| 700 |
1 |
|
|a Singh, Madhusudan
|e [author]
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| 700 |
1 |
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|a Hakimjon, Zaynidinov
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
|
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|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
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|a SpringerBriefs in Applied Sciences and Technology
|
| 028 |
5 |
0 |
|a 10.1007/978-981-13-2239-6
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-13-2239-6?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
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|a 621,382
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| 520 |
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|a 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
|