Advances in VLSI, communication, and signal processing [electronic resource] : select proceedings of VCAS 2019 / edited by David Harvey, Haranath Kar, Shekhar Verma, Vijaya Bhadauria.
2021
TK7874
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Details
Title
Advances in VLSI, communication, and signal processing [electronic resource] : select proceedings of VCAS 2019 / edited by David Harvey, Haranath Kar, Shekhar Verma, Vijaya Bhadauria.
Meeting Name
ISBN
9789811568404 (electronic bk.)
9811568405 (electronic bk.)
9811568391
9789811568398
9811568405 (electronic bk.)
9811568391
9789811568398
Published
Singapore : Springer, 2021.
Language
English
Description
1 online resource (xii, 741 pages) : illustrations (some color).
Item Number
10.1007/978-981-15-6840-4 doi
Call Number
TK7874
Dewey Decimal Classification
621.39/5
621.3815
621.3815
Summary
This book comprises select peer-reviewed papers from the International Conference on VLSI, Communication and Signal processing (VCAS) 2019, held at Motilal Nehru National Institute of Technology (MNNIT) Allahabad, Prayagraj, India. The contents focus on latest research in different domains of electronics and communication engineering, in particular microelectronics and VLSI design, communication systems and networks, and signal and image processing. The book also discusses the emerging applications of novel tools and techniques in image, video and multimedia signal processing. This book will be useful to students, researchers and professionals working in the electronics and communication domain.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Added Author
Series
Lecture notes in electrical engineering ; 683.
Available in Other Form
9811568391
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Table of Contents
Controller design according to right/left coprime factorization
Fault Detection and Classification in Microgrid Using Wavelet Transform and Artificial Neural Network
Performance of 4H-SiC IMPATT Diode at Ka- and W-band with Temperature Variation
Design and Analysis of Low Power SRAM
A Unied Approach for Calculating Outage Performance of Multi-hop Regenerative Relay Network in Nakagami-m fading channel.
Fault Detection and Classification in Microgrid Using Wavelet Transform and Artificial Neural Network
Performance of 4H-SiC IMPATT Diode at Ka- and W-band with Temperature Variation
Design and Analysis of Low Power SRAM
A Unied Approach for Calculating Outage Performance of Multi-hop Regenerative Relay Network in Nakagami-m fading channel.