Turbo Algorithms


Turbo Algorithms
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Turbo Algorithms


Turbo Algorithms
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Author : Keith Weiskamp
language : en
Publisher:
Release Date : 1989-06-20

Turbo Algorithms written by Keith Weiskamp and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989-06-20 with Computers categories.


Gives programmers the tools to write algorithms in all four of Borland's popular Turbo languages. The authors also present a systematic method for data processing tasks of searching, sorting lists, stacks and trees.



Turbo Like Codes


Turbo Like Codes
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Author : Aliazam Abbasfar
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-09

Turbo Like Codes written by Aliazam Abbasfar and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-09 with Technology & Engineering categories.


This book introduces turbo error correcting concept in a simple language, including a general theory and the algorithms for decoding turbo-like code. It presents a unified framework for the design and analysis of turbo codes and LDPC codes and their decoding algorithms. A major focus is on high speed turbo decoding, which targets applications with data rates of several hundred million bits per second (Mbps).



Turbo Coding


Turbo Coding
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Author : Chris Heegard
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Turbo Coding written by Chris Heegard and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Technology & Engineering categories.


When the 50th anniversary of the birth of Information Theory was celebrated at the 1998 IEEE International Symposium on Informa tion Theory in Boston, there was a great deal of reflection on the the year 1993 as a critical year. As the years pass and more perspec tive is gained, it is a fairly safe bet that we will view 1993 as the year when the "early years" of error control coding came to an end. This was the year in which Berrou, Glavieux and Thitimajshima pre sented "Near Shannon Limit Error-Correcting Coding and Decoding: Turbo Codes" at the International Conference on Communications in Geneva. In their presentation, Berrou et al. claimed that a combi nation of parallel concatenation and iterative decoding can provide reliable communications at a signal to noise ratio that is within a few tenths of a dB of the Shannon limit. Nearly fifty years of striving to achieve the promise of Shannon's noisy channel coding theorem had come to an end. The implications of this result were immediately apparent to all -coding gains on the order of 10 dB could be used to dramatically extend the range of communication receivers, increase data rates and services, or substantially reduce transmitter power levels. The 1993 ICC paper set in motion several research efforts that have permanently changed the way we look at error control coding.



Turbo Message Passing Algorithms For Structured Signal Recovery


Turbo Message Passing Algorithms For Structured Signal Recovery
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Author : Xiaojun Yuan
language : en
Publisher: Springer Nature
Release Date : 2020-10-13

Turbo Message Passing Algorithms For Structured Signal Recovery written by Xiaojun Yuan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with Technology & Engineering categories.


This book takes a comprehensive study on turbo message passing algorithms for structured signal recovery, where the considered structured signals include 1) a sparse vector/matrix (which corresponds to the compressed sensing (CS) problem), 2) a low-rank matrix (which corresponds to the affine rank minimization (ARM) problem), 3) a mixture of a sparse matrix and a low-rank matrix (which corresponds to the robust principal component analysis (RPCA) problem). The book is divided into three parts. First, the authors introduce a turbo message passing algorithm termed denoising-based Turbo-CS (D-Turbo-CS). Second, the authors introduce a turbo message passing (TMP) algorithm for solving the ARM problem. Third, the authors introduce a TMP algorithm for solving the RPCA problem which aims to recover a low-rank matrix and a sparse matrix from their compressed mixture. With this book, we wish to spur new researches on applying message passing to various inference problems. Provides an in depth look into turbo message passing algorithms for structured signal recovery Includes efficient iterative algorithmic solutions for inference, optimization, and satisfaction problems through message passing Shows applications in areas such as wireless communications and computer vision



Turbo Codes


Turbo Codes
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Author : Branka Vucetic
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Turbo Codes written by Branka Vucetic and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


This book grew out of our research, industry consulting and con tinuing education courses. Turbo coding initially seemed to belong to a restricted research area, while now has become a part of the mainstream telecommu nication theory and practice. The turbo decoding principles have found widespread applications not only in error control, but in de tection, interference suppression and equalization. Intended for use by advanced students and professional engi neers, involved in coding and telecommunication research, the book includes both basic and advanced material. The chapters are se quenced so that the knowledge is acquired in a logical and progres sive way. The algorithm descriptions and analysis are supported by examples throughout the book. Performance evaluations of the presented algorithms are carried out both analytically and by sim ulations. Basic material included in the book has been taught to students and practicing professionals over the last four years in the form of senior undergraduate or graduate courses, lecture series and short continuing education courses.



125 Problems In Text Algorithms


125 Problems In Text Algorithms
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Author : Maxime Crochemore
language : en
Publisher: Cambridge University Press
Release Date : 2021-07

125 Problems In Text Algorithms written by Maxime Crochemore and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07 with Computers categories.


Worked problems offer an interesting way to learn and practice with key concepts of string algorithms and combinatorics on words.



Channel Coding Theory Algorithms And Applications


Channel Coding Theory Algorithms And Applications
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Author :
language : en
Publisher: Academic Press
Release Date : 2014-07-29

Channel Coding Theory Algorithms And Applications written by and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-29 with Technology & Engineering categories.


This book gives a review of the principles, methods and techniques of important and emerging research topics and technologies in Channel Coding, including theory, algorithms, and applications. Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic. With this reference source you will: Quickly grasp a new area of research Understand the underlying principles of a topic and its applications Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved Quick tutorial reviews of important and emerging topics of research in Channel Coding Presents core principles in Channel Coding theory and shows their applications Reference content on core principles, technologies, algorithms and applications Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge



Wireless Algorithms Systems And Applications


Wireless Algorithms Systems And Applications
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Author : Xinbing Wang
language : en
Publisher: Springer
Release Date : 2012-08-10

Wireless Algorithms Systems And Applications written by Xinbing Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-10 with Computers categories.


This book constitutes the refereed proceedings of the 7th International Conference on Wireless Algorithms, Systems, and Applications, WASA 2012, held in Yellow Mountains, China, in August 2012. The 24 revised full papers presented together with 32 invited papers were carefully reviewed and selected from 116 submissions. The papers cover a wide range of topics such as cognitive radio networks, cyber-physical network systems, mobile handset networking systems, underwater and radar wireless networks, and wireless and mobile security.



Adaptive Decoding Algorithms For Convolutional Turbo Codes


Adaptive Decoding Algorithms For Convolutional Turbo Codes
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Author : Yi-Nan Lin
language : en
Publisher:
Release Date : 2017

Adaptive Decoding Algorithms For Convolutional Turbo Codes written by Yi-Nan Lin and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.




Turbo Codes


Turbo Codes
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Author : Alexandre Giulietti
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Turbo Codes written by Alexandre Giulietti and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


PREFACE The increasing demand on high data rate and quality of service in wireless communication has to cope with limited bandwidth and energy resources. More than 50 years ago, Shannon has paved the way to optimal usage of bandwidth and energy resources by bounding the spectral efficiency vs. signal to noise ratio trade-off. However, as any information theorist, Shannon told us what is the best we can do but not how to do it [1]. In this view, turbo codes are like a dream come true: they allow approaching the theoretical Shannon capacity limit very closely. However, for the designer who wants to implement these codes, at first sight they appear to be a nightmare. We came a huge step closer in striving the theoretical limit, but see the historical axiom repeated on a different scale: we know we can achieve excellent performance with turbo codes, but not how to realize this in real devices.