2012 Ieee Workshop On Signal Processing Systems
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2012 Ieee Workshop On Signal Processing Systems
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Author :
language : en
Publisher:
Release Date : 2012
2012 Ieee Workshop On Signal Processing Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Integrated circuits categories.
2012 Ieee Workshop On Signal Processing Systems Sips 2012
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Author :
language : en
Publisher:
Release Date : 2012
2012 Ieee Workshop On Signal Processing Systems Sips 2012 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Integrated circuits categories.
Handbook Of Signal Processing Systems
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Author : Shuvra S. Bhattacharyya
language : en
Publisher: Springer
Release Date : 2018-10-13
Handbook Of Signal Processing Systems written by Shuvra S. Bhattacharyya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-13 with Technology & Engineering categories.
In this new edition of the Handbook of Signal Processing Systems, many of the chapters from the previous editions have been updated, and several new chapters have been added. The new contributions include chapters on signal processing methods for light field displays, throughput analysis of dataflow graphs, modeling for reconfigurable signal processing systems, fast Fourier transform architectures, deep neural networks, programmable architectures for histogram of oriented gradients processing, high dynamic range video coding, system-on-chip architectures for data analytics, analysis of finite word-length effects in fixed-point systems, and models of architecture. There are more than 700 tables and illustrations; in this edition over 300 are in color. This new edition of the handbook is organized in three parts. Part I motivates representative applications that drive and apply state-of-the art methods for design and implementation of signal processing systems; Part II discusses architectures for implementing these applications; and Part III focuses on compilers, as well as models of computation and their associated design tools and methodologies.
Pattern Recognition
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Author : Apostolos Antonacopoulos
language : en
Publisher: Springer Nature
Release Date : 2024-12-04
Pattern Recognition written by Apostolos Antonacopoulos and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-04 with Computers categories.
The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics.
Proceedings Of Academia Industry Consortium For Data Science
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Author : Gaurav Gupta
language : en
Publisher: Springer Nature
Release Date : 2022-02-01
Proceedings Of Academia Industry Consortium For Data Science written by Gaurav Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-01 with Technology & Engineering categories.
This book gathers high-quality papers presented at Academia-Industry Consortium for Data Science (AICDS 2020), held in Wenzhou, China during 19 – 20 December 2020. The book presents views of academicians and also how companies are approaching these challenges organizationally. The topics covered in the book are data science and analytics, natural language processing, predictive analytics, artificial intelligence, machine learning, deep learning, big data computing, cognitive computing, data visualization, image processing, and optimization techniques.
Fpga Based Implementation Of Signal Processing Systems
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Author : Roger Woods
language : en
Publisher: John Wiley & Sons
Release Date : 2017-02-06
Fpga Based Implementation Of Signal Processing Systems written by Roger Woods and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-06 with Technology & Engineering categories.
An important working resource for engineers and researchers involved in the design, development, and implementation of signal processing systems The last decade has seen a rapid expansion of the use of field programmable gate arrays (FPGAs) for a wide range of applications beyond traditional digital signal processing (DSP) systems. Written by a team of experts working at the leading edge of FPGA research and development, this second edition of FPGA-based Implementation of Signal Processing Systems has been extensively updated and revised to reflect the latest iterations of FPGA theory, applications, and technology. Written from a system-level perspective, it features expert discussions of contemporary methods and tools used in the design, optimization and implementation of DSP systems using programmable FPGA hardware. And it provides a wealth of practical insights—along with illustrative case studies and timely real-world examples—of critical concern to engineers working in the design and development of DSP systems for radio, telecommunications, audio-visual, and security applications, as well as bioinformatics, Big Data applications, and more. Inside you will find up-to-date coverage of: FPGA solutions for Big Data Applications, especially as they apply to huge data sets The use of ARM processors in FPGAs and the transfer of FPGAs towards heterogeneous computing platforms The evolution of High Level Synthesis tools—including new sections on Xilinx's HLS Vivado tool flow and Altera's OpenCL approach Developments in Graphical Processing Units (GPUs), which are rapidly replacing more traditional DSP systems FPGA-based Implementation of Signal Processing Systems, 2nd Edition is an indispensable guide for engineers and researchers involved in the design and development of both traditional and cutting-edge data and signal processing systems. Senior-level electrical and computer engineering graduates studying signal processing or digital signal processing also will find this volume of great interest.
Signal Processing Techniques For Power Efficient Wireless Communication Systems
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Author : Fernando Gregorio
language : en
Publisher: Springer Nature
Release Date : 2019-11-23
Signal Processing Techniques For Power Efficient Wireless Communication Systems written by Fernando Gregorio and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-23 with Technology & Engineering categories.
This book presents a synthesis of the research carried out in the Laboratory of Signal Processing and Communications (LaPSyC), CONICET, Universidad Nacional del Sur, Argentina, since 2003. It presents models and techniques widely used by the signal processing community, focusing on low-complexity methodologies that are scalable to different applications. It also highlights measures of the performance and impact of each compensation technique. The book is divided into three parts: 1) basic models 2) compensation techniques and 3) applications in advanced technologies. The first part addresses basic architectures of transceivers, their component blocks and modulation techniques. It also describes the performance to be taken into account, regardless of the distortions that need to be compensated. In the second part, several schemes of compensation and/or reduction of imperfections are explored, including linearization of power amplifiers, compensation of the characteristics of analog-to- digital converters and CFO compensation for OFDM modulation. The third and last part demonstrates the use of some of these techniques in modern wireless-communication systems, such as full-duplex transmission, massive MIMO schemes and Internet of Things applications.
Applied Reconfigurable Computing
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Author : Kentaro Sano
language : en
Publisher: Springer
Release Date : 2015-03-30
Applied Reconfigurable Computing written by Kentaro Sano and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-30 with Computers categories.
This book constitutes the refereed proceedings of the 11th International Symposium on Applied Reconfigurable Computing, ARC 2015, held in Bochum, Germany, in April 2015. The 23 full papers and 20 short papers presented in this volume were carefully reviewed and selected from 85 submissions. They are organized in topical headings named: architecture and modeling; tools and compilers; systems and applications; network-on-a-chip; cryptography applications; extended abstracts of posters. In addition, the book contains invited papers on funded R&D - running and completed projects and Horizon 2020 funded projects.
Computational Network Analysis With R
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Author : Matthias Dehmer
language : en
Publisher: John Wiley & Sons
Release Date : 2016-07-22
Computational Network Analysis With R written by Matthias Dehmer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-07-22 with Medical categories.
This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.
Handbook Of Robust Low Rank And Sparse Matrix Decomposition
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Author : Thierry Bouwmans
language : en
Publisher: CRC Press
Release Date : 2016-05-27
Handbook Of Robust Low Rank And Sparse Matrix Decomposition written by Thierry Bouwmans and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-27 with Computers categories.
Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing shows you how robust subspace learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications. Incorporating both existing and new ideas, the book conveniently gives you one-stop access to a number of different decompositions, algorithms, implementations, and benchmarking techniques. Divided into five parts, the book begins with an overall introduction to robust principal component analysis (PCA) via decomposition into low-rank and sparse matrices. The second part addresses robust matrix factorization/completion problems while the third part focuses on robust online subspace estimation, learning, and tracking. Covering applications in image and video processing, the fourth part discusses image analysis, image denoising, motion saliency detection, video coding, key frame extraction, and hyperspectral video processing. The final part presents resources and applications in background/foreground separation for video surveillance. With contributions from leading teams around the world, this handbook provides a complete overview of the concepts, theories, algorithms, and applications related to robust low-rank and sparse matrix decompositions. It is designed for researchers, developers, and graduate students in computer vision, image and video processing, real-time architecture, machine learning, and data mining.