Neuromorphic Photonic Devices And Applications

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• Author : Min Gu,Elena Goi,Yangyundou Wang,Zhengfen Wan,Yibo Dong,Yuchao Zhang,Haoyi Yu
• Publisher : Elsevier
• Release Date : 2023-01-01
• Total pages : 500
• ISBN : 9780323972604
• File Size : 18,9 Mb
• Total Download : 191
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Download Neuromorphic Photonic Devices and Applications in PDF, Epub, and Kindle

Neuromorphic Photonic Devices and Applications synthesizes the most critical advances in photonic neuromorphic models, photonic material platforms and accelerators for neuromorphic computing. The book discusses fields and applications that can leverage these new platforms. A brief review of the historical development of the field is followed by a discussion of the emerging 2D photonic materials platforms and recent work in implementing neuromorphic models and 3D neuromorphic systems. The application of artificial intelligence (AI), such as neuromorphic models to inverse design neuromorphic materials and devices and predict performance challenges is discussed throughout. Finally, a comprehensive overview of the applications of neuromorphic photonic technologies and the challenges, opportunities and future prospects is discussed, making the book suitable for researchers and practitioners in academia and R&D in the multidisciplinary field of photonics. Includes overview of primary scientific concepts for the research topic of neuromorphic photonics such as neurons as computational units, artificial intelligence, machine learning and neuromorphic models Reviews the latest advances in photonic materials, device platforms and enabling technology drivers of neuromorphic photonics Discusses potential applications in computing and optical communications

• Author : Paul R. Prucnal,Bhavin J. Shastri
• Publisher : CRC Press
• Release Date : 2017-05-08
• Total pages : 412
• ISBN : 9781498725248
• File Size : 38,7 Mb
• Total Download : 659
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Download Neuromorphic Photonics in PDF, Epub, and Kindle

This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to today’s state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field.

• Author : Peng Yu,Hongxing Xu,Zhiming Wang
• Publisher : John Wiley & Sons
• Release Date : 2023-08-14
• Total pages : 389
• ISBN : 9783527349128
• File Size : 55,6 Mb
• Total Download : 451
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Download Integrated Nanophotonics in PDF, Epub, and Kindle

Helps readers understand the important advances in nanophotonics materials development and their latest applications This book introduces the current state of and emerging trends in the development of integrated nanophotonics. Written by three well-qualified authors, it systematically reviews the knowledge of integrated nanophotonics from theory to the most recent technological developments. It also covers the applications of integrated nanophotonics in essential areas such as neuromorphic computing, biosensing, and optical communications. Lastly, it brings together the latest advancements in the key principles of photonic integrated circuits, plus the recent advances in tackling the barriers in photonic integrated circuits. Sample topics included in this comprehensive resource include: Platforms for integrated nanophotonics, including lithium niobate nanophotonics, indium phosphide nanophotonics, silicon nanophotonics, and nonlinear optics for integrated photonics The devices and technologies for integrated nanophotonics in on-chip light sources, optical packaging of photonic integrated circuits, optical interconnects, and light processing devices Applications on neuromorphic computing, biosensing, LIDAR, and computing for AI and artificial neural network and deep learning Materials scientists, physicists, and physical chemists can use this book to understand the totality of cutting-edge theory, research, and applications in the field of integrated nanophotonics.

• Author : Charlie Ironside,Bruno Romeira,José Figueiredo
• Publisher : Morgan & Claypool Publishers
• Release Date : 2019-11-11
• Total pages : 129
• ISBN : 9781643277448
• File Size : 10,6 Mb
• Total Download : 221
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Download Resonant Tunneling Diode Photonics in PDF, Epub, and Kindle

This book brings together two broad themes that have generated a great deal of interest and excitement in the scientific and technical community in the last 100 years or so: quantum tunnelling and nonlinear dynamical systems. It applies these themes to nanostructured solid state heterostructures operating at room temperature to gain insight into novel photonic devices, systems and applications.

• Author : Paul R. Prucnal
• Publisher : Unknown
• Release Date : 2017
• Total pages : 445
• ISBN : 1351987623
• File Size : 20,8 Mb
• Total Download : 964
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Download Neuromorphic Photonics in PDF, Epub, and Kindle

"As societys appetite for information continues to grow, so does our need to process this information with increasing speed and versatility. Conventional one-size-fits-all solutions offered by digital electronics can no longer satisfy this need, as Moores law, interconnection density, and the von Neumann architecture reach their limits. These limitations are already being felt in advanced applications such as cognitive radio, adaptive control, and scientific computing. With its superior speed and reconfigurability, analog photonics can provide some relief to these problems; however, complex applications of analog photonics have remained largely unexplored due to the absence of a robust photonic integration industry. Recently, the landscape for commercially-manufacturable photonic chips has been changing rapidly and now promises to achieve economies of scale previously enjoyed solely by microelectronics. Despite the advent of commercially-viable photonic integration platforms, significant challenges still remain before scalable analog photonic processors can be realized. A central challenge is the development of mathematical bridges linking photonic device physics to models of complex analog information processing. Among such models, those of neural networks are perhaps the most widely studied and used by engineering communities. This book sets out to build bridges between the domains of photonic device physics and neural networks, providing a comprehensive overview of the emerging field of "neuromorphic photonics." It includes a thorough discussion of evolution of neuromorphic photonics from the advent of fiber-optic neurons to todays state-of-the-art integrated laser neurons, which are a current focus of international research. Neuromorphic Photonics explores candidate interconnection architectures and devices for integrated neuromorphic networks, along with key functionality such as learning. It is written at a level accessible to graduate students, while also intending to serve as a comprehensive reference for experts in the field."--Provided by publisher.

• Author : Mahdi Nikdast,Sudeep Pasricha,Gabriela Nicolescu,Ashkan Seyedi,Di Liang
• Publisher : CRC Press
• Release Date : 2021-11-17
• Total pages : 408
• ISBN : 9781000480146
• File Size : 43,8 Mb
• Total Download : 785
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Download Silicon Photonics for High-Performance Computing and Beyond in PDF, Epub, and Kindle

Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications, from health care and biomedical sensors to autonomous driving, datacenter networking, and security. In recent years, there has been a significant amount of effort in industry and academia to innovate, design, develop, analyze, optimize, and fabricate systems employing silicon photonics, shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms, such as optical computing and artificial intelligence. Different from existing books in this area, Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design, development, and integration challenges, reviews the latest advances spanning materials, devices, circuits, systems, and applications. Technical topics discussed in the book include: • Requirements and the latest advances in high-performance computing systems • Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems • Novel design solutions and design automation techniques for silicon photonic integrated circuits • Novel materials, devices, and photonic integrated circuits on silicon • Emerging computing technologies and applications based on silicon photonics Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms, and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics, electrical, and computer engineering industries as well as academic researchers and graduate students (M.S. and Ph.D.) in computer science and engineering, electronic and electrical engineering, applied physics, photonics, and optics.

• Author : Yuebing Zheng,Zilong Wu
• Publisher : Elsevier
• Release Date : 2022-10-28
• Total pages : 444
• ISBN : 9780323901413
• File Size : 20,5 Mb
• Total Download : 547
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Download Intelligent Nanotechnology in PDF, Epub, and Kindle

Intelligent Nanotechnology: Merging Nanoscience and Artificial Intelligence provides an overview of advances in science and technology made possible by the convergence of nanotechnology and artificial intelligence (AI). Sections focus on AI-enhanced design, characterization and manufacturing and the use of AI to improve important material properties, with an emphasis on mechanical, photonic, electronic and magnetic properties. Designing benign nanomaterials through the prediction of their impact on biology and the environment is also discussed. Other sections cover the use of AI in the acquisition and analysis of data in experiments and AI technologies that have been enhanced through nanotechnology platforms. Final sections review advances in applications enabled by the merging of nanotechnology and artificial intelligence, including examples from biomedicine, chemistry and automated research. Includes recent advances on AI-enhanced design, characterization and the manufacturing of nanomaterials Reviews AI technologies that have been enabled by nanotechnology Discusses potentially world-changing applications that could ensue as a result of merging these two fields

• Author : Mark Tehranipoor
• Publisher : Springer Nature
• Release Date : 2021-04-30
• Total pages : 602
• ISBN : 9783030644482
• File Size : 38,9 Mb
• Total Download : 165
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Download Emerging Topics in Hardware Security in PDF, Epub, and Kindle

This book provides an overview of emerging topics in the field of hardware security, such as artificial intelligence and quantum computing, and highlights how these technologies can be leveraged to secure hardware and assure electronics supply chains. The authors are experts in emerging technologies, traditional hardware design, and hardware security and trust. Readers will gain a comprehensive understanding of hardware security problems and how to overcome them through an efficient combination of conventional approaches and emerging technologies, enabling them to design secure, reliable, and trustworthy hardware.

• Author : Qing Wan,Yi Shi
• Publisher : John Wiley & Sons
• Release Date : 2022-05-16
• Total pages : 258
• ISBN : 9783527349791
• File Size : 11,5 Mb
• Total Download : 801
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Download Neuromorphic Devices for Brain-inspired Computing in PDF, Epub, and Kindle

Explore the cutting-edge of neuromorphic technologies with applications in Artificial Intelligence In Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics, a team of expert engineers delivers a comprehensive discussion of all aspects of neuromorphic electronics designed to assist researchers and professionals to understand and apply all manner of brain-inspired computing and perception technologies. The book covers both memristic and neuromorphic devices, including spintronic, multi-terminal, and neuromorphic perceptual applications. Summarizing recent progress made in five distinct configurations of brain-inspired computing, the authors explore this promising technology’s potential applications in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. The book also includes: A thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms Comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviors Practical discussions of neuromorphic devices based on chalcogenide and organic materials In-depth examinations of neuromorphic computing and perceptual systems with emerging devices Perfect for materials scientists, biochemists, and electronics engineers, Neuromorphic Devices for Brain-Inspired Computing: Artificial Intelligence, Perception, and Robotics will also earn a place in the libraries of neurochemists, neurobiologists, and neurophysiologists.

• Author : Yannis Dimotikalis,Christos Skiadas
• Publisher : ISAST
• Release Date : 2016-05-23
• Total pages : 132
• ISBN : 1230987654XX
• File Size : 12,6 Mb
• Total Download : 654
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Download CHAOS 2016 Book of Abstracts in PDF, Epub, and Kindle

BOOK OF ABSTRACTS CHAOS 2016 Chaotic Modeling and Simulation International Conference London, U.K., 23-26 May 2016

• Author : Sunny Bains
• Publisher : Oxford University Press
• Release Date : 2019-02-14
• Total pages : 224
• ISBN : 9780192555557
• File Size : 33,5 Mb
• Total Download : 668
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Download Explaining the Future in PDF, Epub, and Kindle

Will this new technology work to solve the problem its inventors claim it will? Is it likely to succeed? What is the right technical solution for a particular problem? Can we narrow down the options before we invest in development? How do we persuade our colleagues, investors, clients, or readers of our technical reasoning? Whether you're a researcher, a consultant, a venture capitalist, or a technology officer, you may need to be able to answer these questions systematically and with clarity. Most people learn these skills through years of experience. However, they are so basic to a high-level technical career that they should be made explicit and learned up front. Bains provides you with the tools you need to think through how to match new (and old) technologies, materials, and processes with applications. It starts with key questions to ask, goes through the resources you'll need to answer them, and helps you think through who is most (and least) likely to deserve your trust. Next, it talks you through analyzing the information you've gathered in a systematic way. The book includes chapters on audience (and how to tailor your explanation to them), how to make a persuasive and structured technical argument, and how to write this up in a way that is credible and easy to follow. Finally, the book includes a case study: a real worked example that goes from an idea through the twists and turns of the research and analysis process to a final report.

• Author : Lazaros Iliadis,Chrisina Jayne,Anastasios Tefas,Elias Pimenidis
• Publisher : Springer Nature
• Release Date : 2022-07-16
• Total pages : 530
• ISBN : 9783031082238
• File Size : 36,5 Mb
• Total Download : 951
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Download Engineering Applications of Neural Networks in PDF, Epub, and Kindle

This book constitutes the refereed proceedings of the 23rd International Conference on Engineering Applications of Neural Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June 2022. The 37 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Bio inspired Modeling / Novel Neural Architectures; Classification / Clustering; Machine Learning; Convolutional / Deep Learning; Datamining / Learning / Autoencoders; Deep Learning / Blockchain; Machine Learning for Medical Images / Genome Classification; Reinforcement /Adversarial / Echo State Neural Networks; Robotics / Autonomous Vehicles, Photonic Neural Networks; Text Classification / Natural Language.

• Author : Lakshmi Narayana Deepak Kallepalli
• Publisher : BoD – Books on Demand
• Release Date : 2018-11-14
• Total pages : 96
• ISBN : 9781789844788
• File Size : 47,8 Mb
• Total Download : 375
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Download Applications of Silicon Photonics in Sensors and Waveguides in PDF, Epub, and Kindle

This book is a collection of five original research articles on silicon photonics. The discussed issues are organized into two parts. Part 1 describes the science behind the silicon photonics emphasizing the role of photonic circuits on silicon, and Part 2 describes applications in waveguide and optical transmissions. This book should be of interest to academic researchers and engineers. The chapters included are fundamental science and applications of silicon photonics, optical properties of thin nanocrystalline silicon films, microporous silicon in gas sensing, Mach-Zehnder interferometer cell-based silicon waveguide, experimental study of porous silicon films, and integrated optical switches and their applications.

• Author : Oksana Ostroverkhova
• Publisher : Woodhead Publishing
• Release Date : 2018-11-30
• Total pages : 911
• ISBN : 9780081022856
• File Size : 48,6 Mb
• Total Download : 236
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Download Handbook of Organic Materials for Electronic and Photonic Devices in PDF, Epub, and Kindle

Handbook of Organic Materials for Electronic and Photonic Devices, Second Edition, provides an overview of the materials, mechanisms, characterization techniques, structure-property relationships, and most promising applications of organic materials. This new release includes new content on emerging organic materials, expanded content on the basic physics behind electronic properties, and new chapters on organic photonics. As advances in organic materials design, fabrication, and processing that enabled charge unprecedented carrier mobilities and power conversion efficiencies have made dramatic advances since the first edition, this latest release presents a necessary understanding of the underlying physics that enabled novel material design and improved organic device design. Provides a comprehensive overview of the materials, mechanisms, characterization techniques, and structure property relationships of organic electronic and photonic materials Reviews key applications, including organic solar cells, light-emitting diodes electrochemical cells, sensors, transistors, bioelectronics, and memory devices New content to reflect latest advances in our understanding of underlying physics to enable material design and device fabrication

• Author : Mahdi Nikdast,Sudeep Pasricha,Gabriela Nicolescu,Ashkan Seyedi,Di Liang
• Publisher : CRC Press
• Release Date : 2021-11-17
• Total pages : 408
• ISBN : 9781000480115
• File Size : 24,6 Mb
• Total Download : 809
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Download Silicon Photonics for High-Performance Computing and Beyond in PDF, Epub, and Kindle

Silicon photonics is beginning to play an important role in driving innovations in communication and computation for an increasing number of applications, from health care and biomedical sensors to autonomous driving, datacenter networking, and security. In recent years, there has been a significant amount of effort in industry and academia to innovate, design, develop, analyze, optimize, and fabricate systems employing silicon photonics, shaping the future of not only Datacom and telecom technology but also high-performance computing and emerging computing paradigms, such as optical computing and artificial intelligence. Different from existing books in this area, Silicon Photonics for High-Performance Computing and Beyond presents a comprehensive overview of the current state-of-the-art technology and research achievements in applying silicon photonics for communication and computation. It focuses on various design, development, and integration challenges, reviews the latest advances spanning materials, devices, circuits, systems, and applications. Technical topics discussed in the book include: • Requirements and the latest advances in high-performance computing systems • Device- and system-level challenges and latest improvements to deploy silicon photonics in computing systems • Novel design solutions and design automation techniques for silicon photonic integrated circuits • Novel materials, devices, and photonic integrated circuits on silicon • Emerging computing technologies and applications based on silicon photonics Silicon Photonics for High-Performance Computing and Beyond presents a compilation of 19 outstanding contributions from academic and industry pioneers in the field. The selected contributions present insightful discussions and innovative approaches to understand current and future bottlenecks in high-performance computing systems and traditional computing platforms, and the promise of silicon photonics to address those challenges. It is ideal for researchers and engineers working in the photonics, electrical, and computer engineering industries as well as academic researchers and graduate students (M.S. and Ph.D.) in computer science and engineering, electronic and electrical engineering, applied physics, photonics, and optics.

• Author : Sandeep Saini,Kusum Lata,G.R. Sinha
• Publisher : CRC Press
• Release Date : 2021-12-31
• Total pages : 292
• ISBN : 9781000523843
• File Size : 30,9 Mb
• Total Download : 745
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Download VLSI and Hardware Implementations using Modern Machine Learning Methods in PDF, Epub, and Kindle

Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.

• Author : Abderazek Ben Abdallah,Khanh N. Dang
• Publisher : Springer Nature
• Release Date : 2022-05-31
• Total pages : 244
• ISBN : 9783030925253
• File Size : 28,7 Mb
• Total Download : 549
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Download Neuromorphic Computing Principles and Organization in PDF, Epub, and Kindle

This book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a comprehensive way the organization and how to design a spike-based neuromorphic system to perform network of spiking neurons communication, computing, and adaptive learning for emerging AI applications. The book begins with an overview of neuromorphic computing systems and explores the fundamental concepts of artificial neural networks. Next, we discuss artificial neurons and how they have evolved in their representation of biological neuronal dynamics. Afterward, we discuss implementing these neural networks in neuron models, storage technologies, inter-neuron communication networks, learning, and various design approaches. Then, comes the fundamental design principle to build an efficient neuromorphic system in hardware. The challenges that need to be solved toward building a spiking neural network architecture with many synapses are discussed. Learning in neuromorphic computing systems and the major emerging memory technologies that promise neuromorphic computing are then given. A particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain’s three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well. Neuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities.

• Author : David J. Lockwood,Lorenzo Pavesi
• Publisher : Springer Nature
• Release Date : 2021-06-08
• Total pages : 512
• ISBN : 9783030682224
• File Size : 30,6 Mb
• Total Download : 262
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Download Silicon Photonics IV in PDF, Epub, and Kindle

This fourth book in the series Silicon Photonics gathers together reviews of recent advances in the field of silicon photonics that go beyond already established and applied concepts in this technology. The field of research and development in silicon photonics has moved beyond improvements of integrated circuits fabricated with complementary metal–oxide–semiconductor (CMOS) technology to applications in engineering, physics, chemistry, materials science, biology, and medicine. The chapters provided in this book by experts in their fields thus cover not only new research into the highly desired goal of light production in Group IV materials, but also new measurement regimes and novel technologies, particularly in information processing and telecommunication. The book is suited for graduate students, established scientists, and research engineers who want to update their knowledge in these new topics.

• Author : Mike Haidar Shahine
• Publisher : BoD – Books on Demand
• Release Date : 2021-06-23
• Total pages : 182
• ISBN : 9781839624001
• File Size : 14,7 Mb
• Total Download : 745
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Download Optoelectronics in PDF, Epub, and Kindle

This book represents a unique collection of the latest developments in the rapidly developing world of optoelectronics. The contributing authors to this book are a group of internationally distinguished researchers. This book consists of a collection of chapters divided into two sections, with the first section covering new applications and the second section covering materials and crystal structures topics to support future generations of optoelectronic devices and open the door for future, more demanding applications. This collection of chapters will be of considerable interest to scientists, engineers, physicists, and technologists working in research and development in the fields of optoelectronics and photonics, as well as to young researchers who are at the beginning of their career.

• Author : Anonim
• Publisher : BoD – Books on Demand
• Release Date : 2020-12-09
• Total pages : 124
• ISBN : 9781839628788
• File Size : 53,8 Mb
• Total Download : 823
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Download Advances and Applications in Deep Learning in PDF, Epub, and Kindle

Artificial Intelligence (AI) has attracted the attention of researchers and users alike and is taking an increasingly crucial role in our modern society. From cars, smartphones, and airplanes to medical equipment, consumer applications, and industrial machines, the impact of AI is notoriously changing the world we live in. In this context, Deep Learning (DL) is one of the techniques that has taken the lead for cognitive processes, pattern recognition, object detection, and machine learning, all of which have played a crucial role in the growth of AI. As such, this book examines DL applications and future trends in the field. It is a useful resource for researchers and students alike.

• Author : Jyotsna Kumar Mandal,Kallol Bhattacharya,Ivy Majumdar,Surajit Mandal
• Publisher : Springer Nature
• Release Date : 2019-10-15
• Total pages : 240
• ISBN : 9789813294530
• File Size : 14,5 Mb
• Total Download : 569
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Download Information, Photonics and Communication in PDF, Epub, and Kindle

The book includes high-quality papers presented at the Second National Conference of Information, Photonics and Communication (2019), organized by the Department of Electronics & Communication Engineering, B.P. Poddar Institute of Management & Technology from 01 to 03 February 2019. Covering multiple domains in four broad categories—photonics; devices and VLSI; communication systems and networks; signal processing and intelligent systems, it includes topics such as RF and microwave communications, wireless and mobile communication, satellite communications, signal, image and video processing, deep learning and optical networks.