Signal Processing Applications Using Multidimensional Polynomial Splines (eBook, PDF) - Singh, Dhananjay; Singh, Madhusudan; Hakimjon, Zaynidinov
53,49 €
inkl. MwSt.
Sofort per Download lieferbar
  • Format: PDF

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…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
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.

Autorenporträt
Dr. Dhananjay Singh is an Associate Professor in Electronics Engineering and the Director of ReSENSE Lab at Hankuk (Korea) University of Foreign Studies (HUFS), Seoul, South Korea. He received his B. Tech. degree in Computer Science and Engineering from VBS Purvanchal University, India, and M. Tech. degree in Wireless Communication & computing from IIIT-Allahabad, India. He received his Ph.D. degree in Ubiquitous IT from Dongseo University, Busan, South Korea. Before joining the HUFS, he worked as a senior member of engineering staff with the division of Future Internet Architecture at ETRI, Korea and PostDoc research fellow with the division of fusion and convergences of mathematical sciences for the developing future internet model at National Institute of Mathematical Sciences (NIMS), Daejeon, South Korea. He was also a Research Assistant in computer science and engineering dept. at MNNIT-Allahabad, India.

Prof. Madhusudan Singh (SMIEEE) is currently working as AssistantProfessor at School of Technology Studies, Endicott College of International Studies in Woosong University, Daejeon, South Korea since (March 2018 ~ ). Prior, Dr. Singh has worked as Research Professor at Yonsei Institute of Convergence Technology, Yonsei University (June 2016 – Feb 2018). Dr. Singh has also served as Senior Engineer at the Research and Development department of Samsung Display, Yongin-Si, South Korea for 4+ Years.
He has received his Ph.D. degree in the Dept. of Ubiquitous IT, from Dongseo University (DSU) (Busan, South Korea). He has completed dual Master's M.Tech. (Master of Technology) in Dept. of IT with the specialization in Software Engineering from Indian Institute of Information Technology-Allahabad(IIIT-A), India and MS in the Dept. of Computer Science from Uttar Pradesh (State) Technical University(UPTU), Lucknow, India. He completed his BS degree is the Dept. of Computer Applications from Purvanchal University, India.

Currently, he is Senior Member of IEEE (SMIEEE) and member of ACM, IEEE Standard, IEEE Blockchain, and many more research and scientific organizations. He is also associated as Editor/reviewer/TPC member multiple International journals/conferences. He has published more than 50+ refereed research articles, 9+ International Patents, and delivered 15+ technical talks as speakers. His fields of research are Wireless Networks, Cyber Security, Blockchain Technology, Internet of Things, Machine Learning, Software Engineering, and Computer Vision