Advances in VLSI, signal processing, power electronics, IoT, communication and embedded systems : select proceedings of VSPICE 2020 / Shubhakar Kalya, Muralidhar Kulkarni, K.S. Shivaprakasha.
2021
TK7874
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Title
Advances in VLSI, signal processing, power electronics, IoT, communication and embedded systems : select proceedings of VSPICE 2020 / Shubhakar Kalya, Muralidhar Kulkarni, K.S. Shivaprakasha.
ISBN
9789811604430 (electronic bk.)
9811604436 (electronic bk.)
9811604428
9789811604423
9811604436 (electronic bk.)
9811604428
9789811604423
Published
Singapore : Springer, [2021]
Language
English
Description
1 online resource
Item Number
10.1007/978-981-16-0443-0 doi
Call Number
TK7874
Dewey Decimal Classification
621.39/5
Summary
This book comprises select peer-reviewed papers from the International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems (VSPICE-2020). The book provides insights into various aspects of the emerging fields in the areas Electronics and Communication Engineering as a holistic approach. The various topics covered in this book include VLSI, embedded systems, signal processing, communication, power electronics and internet of things. This book mainly focuses on the most recent innovations, trends, concerns and practical challenges and their solutions. This book will be useful for academicians, professionals and researchers in the area of electronics and communications and electrical engineering.
Note
International conference proceedings.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed April 15, 2021).
Series
Lecture notes in electrical engineering ; v. 752. 1876-1100
Available in Other Form
Advances in VLSI, signal processing, power electronics, IoT, communication and embedded systems.
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Table of Contents
Circularly Polarized E-shaped patch antenna for AWS, FMS & MSS applications
Bayes' Classifier for Mapping Intermediate and Heterogeneous RS Imagery
A Study on the Effect of Dimensionality Reduction on Classification Accuracy of Myoelectric Control Systems
An Efficient Low Power MEMS Based Microfluidic Device for the Segregation of Different Blood Components
Design of a Bipedal Robot
Amalgamation of Neural Network and Genetic Algorithm for Efficient Workload Prediction in Data Center
Pressure Sensor Based On 2-Dimensional Photonic-Crystal Ring Resonator.
Bayes' Classifier for Mapping Intermediate and Heterogeneous RS Imagery
A Study on the Effect of Dimensionality Reduction on Classification Accuracy of Myoelectric Control Systems
An Efficient Low Power MEMS Based Microfluidic Device for the Segregation of Different Blood Components
Design of a Bipedal Robot
Amalgamation of Neural Network and Genetic Algorithm for Efficient Workload Prediction in Data Center
Pressure Sensor Based On 2-Dimensional Photonic-Crystal Ring Resonator.