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A Viterbi Decoder
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Book Synopsis Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes by : Shu Lin
Download or read book Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes written by Shu Lin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the demand for data reliability increases, coding for error control becomes increasingly important in data transmission systems and has become an integral part of almost all data communication system designs. In recent years, various trellis-based soft-decoding algorithms for linear block codes have been devised. New ideas developed in the study of trellis structure of block codes can be used for improving decoding and analyzing the trellis complexity of convolutional codes. These recent developments provide practicing communication engineers with more choices when designing error control systems. Trellises and Trellis-based Decoding Algorithms for Linear Block Codes combines trellises and trellis-based decoding algorithms for linear codes together in a simple and unified form. The approach is to explain the material in an easily understood manner with minimal mathematical rigor. Trellises and Trellis-based Decoding Algorithms for Linear Block Codes is intended for practicing communication engineers who want to have a fast grasp and understanding of the subject. Only material considered essential and useful for practical applications is included. This book can also be used as a text for advanced courses on the subject.
Book Synopsis Implementation of Viterbi Decoder on XILINX XC4005XL FPGA by : Nabil Abu-Khader
Download or read book Implementation of Viterbi Decoder on XILINX XC4005XL FPGA written by Nabil Abu-Khader and published by . This book was released on 2002 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Algorithms and Architectures for High Speed Viterbi Decoding by : Peter J. Black
Download or read book Algorithms and Architectures for High Speed Viterbi Decoding written by Peter J. Black and published by . This book was released on 1993 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics by : Khosrow-Pour, D.B.A., Mehdi
Download or read book Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics written by Khosrow-Pour, D.B.A., Mehdi and published by IGI Global. This book was released on 2018-10-19 with total page 1946 pages. Available in PDF, EPUB and Kindle. Book excerpt: From cloud computing to data analytics, society stores vast supplies of information through wireless networks and mobile computing. As organizations are becoming increasingly more wireless, ensuring the security and seamless function of electronic gadgets while creating a strong network is imperative. Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics highlights the challenges associated with creating a strong network architecture in a perpetually online society. Readers will learn various methods in building a seamless mobile computing option and the most effective means of analyzing big data. This book is an important resource for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, and IT specialists seeking modern information on emerging methods in data mining, information technology, and wireless networks.
Book Synopsis Low Power Techniques for Implementing a Viterbi Decoder by : Kirthi Chandrakanth Shenoy
Download or read book Low Power Techniques for Implementing a Viterbi Decoder written by Kirthi Chandrakanth Shenoy and published by . This book was released on 2000 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Software Literacy written by Elaine Khoo and published by Springer. This book was released on 2017-11-24 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the notion of software literacy, a key part of digital literacy which all contemporary students and citizens need to understand. Software literacy involves a critical understanding of how the affordances and conceptual approaches of everything from operating systems, creative apps and media editors, to software-based platforms and infrastructures work to inform and shape the ways we think and act. As a cultural artefact, programing code plays a role in reproducing, reinforcing, and augmenting existing cultural practices, as well as generating completely new coded practices. A proposed three-tier framework for software literacy is the focus for a two-year empirical investigation into how tertiary students become more literate about the nature and implications of software they encounter as part of their tertiary studies. Two case studies of software learning and use in university-level engineering and screen & media studies courses are presented, investigating the mapping of students’ trajectory of the learning of desktop applications against this framework for software literacy. Though the book’s focus is primarily educational, its content also has implications for any field that makes use of software and information & communication technology systems and applications. As such, the book will be of interest to all readers whose work involves the challenges and opportunities presented by software-based teaching and learning; and to those interested in how software impacts the workplace and leisure activities that make up our day-to-day lives.
Book Synopsis Mastering Machine Learning Algorithms by : Giuseppe Bonaccorso
Download or read book Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2018-05-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
Book Synopsis FPGA Design and Implementation of Systolic Array-based Viterbi Decoders by : Man Guo
Download or read book FPGA Design and Implementation of Systolic Array-based Viterbi Decoders written by Man Guo and published by . This book was released on 2002 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Viterbi algorithm is known to provide an efficient method for the maximum likelihood decoding of convolutional codes. In this thesis, a design and FPGA implementation of a Viterbi decoder with a constraint length of 9 and code rate of 1/2 is presented. In this design, a novel systolic array architecture with time multiplexing, arithmetic pipelining and clock-to-data skews tolerance is developed. Further, by modifying this Viterbi algorithm, an adaptive Viterbi algorithm that is based on strongly-connected trellis decoding is proposed. Using the proposed adaptive algorithm, a design and FPGA implementation of a low-power adaptive Viterbi decoder with a constraint length of 9 and code rate of 1/2 is presented. The systolic array-based architecture used in this adaptive Viterbi decoder is a modified version of the architecture used for the non-adaptive Viterbi decoder in that the latter is modified to include the modules, which are needed for generating the survivor information and for eliminating the spurious toggles in the adaptive Viterbi decoding process.
Book Synopsis Information and Communication Technology for Competitive Strategies (ICTCS 2020) by : Amit Joshi
Download or read book Information and Communication Technology for Competitive Strategies (ICTCS 2020) written by Amit Joshi and published by Springer Nature. This book was released on 2021-07-26 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains the best selected research papers presented at ICTCS 2020: Fifth International Conference on Information and Communication Technology for Competitive Strategies. The conference was held at Jaipur, Rajasthan, India, during 11–12 December 2020. The book covers state-of-the-art as well as emerging topics pertaining to ICT and effective strategies for its implementation for engineering and managerial applications. This book contains papers mainly focused on ICT for computation, algorithms and data analytics, and IT security.
Book Synopsis Adaptive Rate Convolutional Coding Using the Viterbi Decoder by : Bruce A. Harvey
Download or read book Adaptive Rate Convolutional Coding Using the Viterbi Decoder written by Bruce A. Harvey and published by . This book was released on 1991 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Turbo Coding, Turbo Equalisation and Space-Time Coding by : Lajos Hanzo
Download or read book Turbo Coding, Turbo Equalisation and Space-Time Coding written by Lajos Hanzo and published by John Wiley & Sons. This book was released on 2011-05-03 with total page 839 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the full range of channel codes from the most conventional through to the most advanced, the second edition of Turbo Coding, Turbo Equalisation and Space-Time Coding is a self-contained reference on channel coding for wireless channels. The book commences with a historical perspective on the topic, which leads to two basic component codes, convolutional and block codes. It then moves on to turbo codes which exploit iterative decoding by using algorithms, such as the Maximum-A-Posteriori (MAP), Log-MAP and Soft Output Viterbi Algorithm (SOVA), comparing their performance. It also compares Trellis Coded Modulation (TCM), Turbo Trellis Coded Modulation (TTCM), Bit-Interleaved Coded Modulation (BICM) and Iterative BICM (BICM-ID) under various channel conditions. The horizon of the content is then extended to incorporate topics which have found their way into diverse standard systems. These include space-time block and trellis codes, as well as other Multiple-Input Multiple-Output (MIMO) schemes and near-instantaneously Adaptive Quadrature Amplitude Modulation (AQAM). The book also elaborates on turbo equalisation by providing a detailed portrayal of recent advances in partial response modulation schemes using diverse channel codes. A radically new aspect for this second edition is the discussion of multi-level coding and sphere-packing schemes, Extrinsic Information Transfer (EXIT) charts, as well as an introduction to the family of Generalized Low Density Parity Check codes. This new edition includes recent advances in near-capacity turbo-transceivers as well as new sections on multi-level coding schemes and of Generalized Low Density Parity Check codes Comparatively studies diverse channel coded and turbo detected systems to give all-inclusive information for researchers, engineers and students Details EXIT-chart based irregular transceiver designs Uses rich performance comparisons as well as diverse near-capacity design examples
Book Synopsis International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 by : Jude Hemanth
Download or read book International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018 written by Jude Hemanth and published by Springer. This book was released on 2018-12-20 with total page 1636 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses data communication and computer networking, communication technologies and the applications of IoT (Internet of Things), big data, cloud computing and healthcare informatics. It explores, examines and critiques intelligent data communications and presents inventive methodologies in communication technologies and IoT. Aimed at researchers and academicians who need to understand the importance of data communication and advanced technologies in IoT, it offers different perspectives to help readers increase their knowledge and motivates them to conduct research in the area, highlighting various innovative ideas for future research.
Book Synopsis Error-Correction Coding and Decoding by : Martin Tomlinson
Download or read book Error-Correction Coding and Decoding written by Martin Tomlinson and published by Springer. This book was released on 2017-02-21 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses both the theory and practical applications of self-correcting data, commonly known as error-correcting codes. The applications included demonstrate the importance of these codes in a wide range of everyday technologies, from smartphones to secure communications and transactions. Written in a readily understandable style, the book presents the authors’ twenty-five years of research organized into five parts: Part I is concerned with the theoretical performance attainable by using error correcting codes to achieve communications efficiency in digital communications systems. Part II explores the construction of error-correcting codes and explains the different families of codes and how they are designed. Techniques are described for producing the very best codes. Part III addresses the analysis of low-density parity-check (LDPC) codes, primarily to calculate their stopping sets and low-weight codeword spectrum which determines the performance of th ese codes. Part IV deals with decoders designed to realize optimum performance. Part V describes applications which include combined error correction and detection, public key cryptography using Goppa codes, correcting errors in passwords and watermarking. This book is a valuable resource for anyone interested in error-correcting codes and their applications, ranging from non-experts to professionals at the forefront of research in their field. This book is open access under a CC BY 4.0 license.
Book Synopsis Codes and turbo codes by : Claude Berrou
Download or read book Codes and turbo codes written by Claude Berrou and published by Springer Science & Business Media. This book was released on 2011-01-27 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to one of the essential functions of modern telecommunications systems: channel coding or error correction coding. Its main topic is iteratively decoded algebraic codes, convolutional codes and concatenated codes.
Author :National Aeronautics and Space Adm Nasa Publisher :Independently Published ISBN 13 :9781728906249 Total Pages :26 pages Book Rating :4.9/5 (62 download)
Book Synopsis Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes by : National Aeronautics and Space Adm Nasa
Download or read book Trellises and Trellis-Based Decoding Algorithms for Linear Block Codes written by National Aeronautics and Space Adm Nasa and published by Independently Published. This book was released on 2018-10-18 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decoding algorithms based on the trellis representation of a code (block or convolutional) drastically reduce decoding complexity. The best known and most commonly used trellis-based decoding algorithm is the Viterbi algorithm. It is a maximum likelihood decoding algorithm. Convolutional codes with the Viterbi decoding have been widely used for error control in digital communications over the last two decades. This chapter is concerned with the application of the Viterbi decoding algorithm to linear block codes. First, the Viterbi algorithm is presented. Then, optimum sectionalization of a trellis to minimize the computational complexity of a Viterbi decoder is discussed and an algorithm is presented. Some design issues for IC (integrated circuit) implementation of a Viterbi decoder are considered and discussed. Finally, a new decoding algorithm based on the principle of compare-select-add is presented. This new algorithm can be applied to both block and convolutional codes and is more efficient than the conventional Viterbi algorithm based on the add-compare-select principle. This algorithm is particularly efficient for rate 1/n antipodal convolutional codes and their high-rate punctured codes. It reduces computational complexity by one-third compared with the Viterbi algorithm. Lin, Shu Goddard Space Flight Center NAG5-931; NAG5-2938
Book Synopsis Efficient Computation of Viterbi Decoder Reliability with an Application to Variable-Length Coding by : Alexander Makoto Baldauf
Download or read book Efficient Computation of Viterbi Decoder Reliability with an Application to Variable-Length Coding written by Alexander Makoto Baldauf and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis compares the accuracy and complexity of Raghavan and Baum's Reliability Out-put Viterbi Algorithm (ROVA), Polyanskiy's accumulated information density (AID), and Fricke and Hoeher's approximation of ROVA. It turns out that AID is far less accurate than ROVA in practice. This thesis proposes codeword information density (CID), which modifies AID to improve its accuracy and leads to a lower-complexity implementation of ROVA. This thesis includes an analytical expression for the random variable describing the correct decoding probability computed by ROVA and uses this expression to characterize how the probabilities of correct decoding, undetected error, and negative acknowledgement behave as a function of the selected threshold for reliable decoding. This thesis examines both the complexity and the simulation time of ROVA, CID, AID, and the Fricke and Hoe- her approximation to ROVA. This thesis also derives an expression for the union bound on the frame error rate for zero-terminated trellis codes with punctured symbols and uses it to optimize the order of symbol transmission in an incremental retransmission scheme. This thesis compares the performance of an incremental retransmission scheme using ROVA as a stopping condition to one that uses a CRC as a stopping condition. This thesis concludes by applying the sequential differential optimization algorithm (SDO) to determine the trans- mission lengths in an incremental transmission scheme to maximize the throughput when limiting the maximum number of transmissions.
Book Synopsis Design and Analysis of a Convolutional Encoder, Metric Generator, and Viterbi Decoder, for Use in a IS-95 CDMA System by : Noah B. Henyon
Download or read book Design and Analysis of a Convolutional Encoder, Metric Generator, and Viterbi Decoder, for Use in a IS-95 CDMA System written by Noah B. Henyon and published by . This book was released on 1998 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:
