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This book comprises select proceedings of the International Conference on Advances in Signal Processing and Communication Engineering (ICASPACE 2023). The book covers several theoretical and mathematical approaches addressing day-to-day challenges in signal, image, and speech processing and advanced communication systems. It primarily focuses on effective mathematical methods, algorithms, and models that enhance the performance of existing systems. The topics covered in the book are advances in signal processing (radar and biomedical), image processing, speech processing, technical and…mehr
This book comprises select proceedings of the International Conference on Advances in Signal Processing and Communication Engineering (ICASPACE 2023). The book covers several theoretical and mathematical approaches addressing day-to-day challenges in signal, image, and speech processing and advanced communication systems. It primarily focuses on effective mathematical methods, algorithms, and models that enhance the performance of existing systems. The topics covered in the book are advances in signal processing (radar and biomedical), image processing, speech processing, technical and environmental challenges in 5G technology, and strategies for optimal utilization of resources to improve the efficacy of the communication systems in terms of bandwidth and radiating power, etc. The works published in the book will remarkably be helpful to prospective scholars, academicians, and students seeking knowledge in signal processing and communication engineering.
Pradeep Kumar Jain is a Professor in Electronics Engineering, and he is the Director of the National Institute of Technology Patna. Dr. Jain has immense experience both in research and administration. He made a significant contribution to the analysis, modeling, and development of high-power microwave tubes and gyrotron devices. Prof. Jain guided 20 doctoral theses and has 100 peer-reviewed articles published in indexed journals, 200 conference proceedings, a patent, and authored six book/monograph chapters, to his credit. He served in various administrative positions as Dean-R&D at IIT (BHU), Varanasi; Coordinator of Microwave Tubes Research Centre and Centre of Advanced Studies; and Head of the Department of Electronics Engineering, IIT (BHU). Prof. Jain did extensive R&D activities in collaboration with CEERI (CSIR, Pilani), DRDO, and IPR (DAE, Gandhi Nagar), and successfully executed numerous sponsored research projects.
Yatindra Nath Singh is currently a Professor in theDepartment of Electrical Engineering at IIT Kanpur. Prof. Singh has led a team of researchers and academicians across India to develop Brihaspati, a project that aims at developing a platform-independent highly scalable content delivery system for a web-based e-learning system. He pursued his undergraduate in electrical engineering from REC Hamirpur (present National Institute of Technology Hamirpur), a master's with a specialization in optoelectronics and optical communications, and a Ph.D. in optical communication networks from IIT Delhi. He supervised 15 Ph.D. theses, published several journal articles and conference proceedings, and completed several sponsored projects besides Brihaspati.
Ravi Paul Gollapalli is an Associate Professor in the Department of Engineering Technology at the University of North Alabama. He has an electrical engineering background with a specialization in optics and has research experience in signal and image processing, pattern recognition analysisfor remote sensing, and applications of femtosecond lasers. Dr. Gollapalli received his Ph.D. from the University of Alabama, Huntsville, and was a Post-doctoral Research Associate at the University of South Alabama, USA. He has published his works in peer-reviewed journals, conferences, and a book chapter. Besides, Dr. Gollapalli is actively involved in experimental works, numerical simulations, simulation of femtosecond laser pulse propagation in materials, fabrication of nanostructures on glass and silicon substrates using micro-/nanofabrication processes, and designing RF circuits for noise analysis. Further, he built an optical amplifier (EDFA) and supported the processing of signals from an impedance probe equipped on board the NASA SOUND rocket.
Sohanpal Singh is Professor and Head of the Electronics and Communication Engineering Department at Mahatma Gandhi Institute of Technology, Hyderabad. He worked for 18 years in the Indian Army Corps of EME. During his service in the Indian Army, he was in radar maintenance activities. Dr. Singh has developed a synchro-based training model for defense applications, received several cash rewards for his indigenization work on the radar Schilka, and did several modifications in radar SFM to reduce the error rate. Later he chose his career as an Academician. Dr. Singh received his Ph.D. from Osmania University, Hyderabad, in 2007. He supervised three doctoral theses so far, and four are in progress. He has over 115 publications in journals and conference proceedings and completed several funded projects from AICTE.
Inhaltsangabe
Lumped Circuit Modeling at Nanoscale.- Deep Learning Model for Multiclass Classification of Diabetic Retinal Fundus Images Using Gradient Descent Optimization.- Configuration of the Communication Radius for Partial Coverage in WSN.- Bandwidth enhancement of two-element closely spaced MIMO Antenna for WLAN applications.- Spectrum Sharing for D2D based vehicular networks using optimum pricing algorithm with delayed CSI feedback.
Lumped Circuit Modeling at Nanoscale.- Deep Learning Model for Multiclass Classification of Diabetic Retinal Fundus Images Using Gradient Descent Optimization.- Configuration of the Communication Radius for Partial Coverage in WSN.- Bandwidth enhancement of two-element closely spaced MIMO Antenna for WLAN applications.- Spectrum Sharing for D2D based vehicular networks using optimum pricing algorithm with delayed CSI feedback.
Lumped Circuit Modeling at Nanoscale.- Deep Learning Model for Multiclass Classification of Diabetic Retinal Fundus Images Using Gradient Descent Optimization.- Configuration of the Communication Radius for Partial Coverage in WSN.- Bandwidth enhancement of two-element closely spaced MIMO Antenna for WLAN applications.- Spectrum Sharing for D2D based vehicular networks using optimum pricing algorithm with delayed CSI feedback.
Lumped Circuit Modeling at Nanoscale.- Deep Learning Model for Multiclass Classification of Diabetic Retinal Fundus Images Using Gradient Descent Optimization.- Configuration of the Communication Radius for Partial Coverage in WSN.- Bandwidth enhancement of two-element closely spaced MIMO Antenna for WLAN applications.- Spectrum Sharing for D2D based vehicular networks using optimum pricing algorithm with delayed CSI feedback.
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