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Turbo estimation algorithms: general principles, and applications to modal analysis

Signal Processing, 2000
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LO PRESTI, Letizia   +2 more
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PREMIER Turbo: Probabilistic error-correction using Markov inference in errored reads using the turbo principle

2013 IEEE Global Conference on Signal and Information Processing, 2013
We present a probabilistic algorithm for error correction for high throughput DNA sequencing data. Our approach leverages our prior algorithm PREMIER where sequencer outputs are modeled as independent realizations of a Hidden Markov Model (HMM) and the problem of error correction is posed as one of maximum likelihood sequence detection over this HMM ...
Xin Yin   +3 more
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A generalized turbo principle for approximate detection and decoding

2008 IEEE International Symposium on Information Theory, 2008
Optimal joint detection and decoding is infeasible in all but the simplest of communication systems due to the required exhaustive search. A highly popular approximate method for solving this problem is the so-called Turbo principle, in which single-variable beliefs are exchanged between the individual components of the system in an iterative manner ...
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The turbo principle in joint source channel decoding of variable length codes

Proceedings 2001 IEEE Information Theory Workshop (Cat. No.01EX494), 2002
The turbo principle has been widely applied to various detection/decoding problems in recent years. Here we show how the general idea can be extended to a communication scheme where a variable length code is used for data compression followed by a channel code to protect the data against channel errors.
Joachim Hagenauer, Rainer Bauer
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Continuous Decoding Based on Turbo Principle for Indoor UWB Channel

2006 10th IEEE Singapore International Conference on Communication Systems, 2006
This paper presents a continuous decoding algorithm combined with adaptive equalization for receiving UWB signal in indoor multipath channel. It provides theoretical analysis and simulation results based on multiuser environment. This new algorithm computes initial forward recursion using training sequence needed by the adaptive equalizer, and uses ...
Yiming Wang, Hongbo Zhu
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Using the turbo principle for exploiting temporal and spectral correlations in speech presence probability estimation

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
In this paper we present a speech presence probability (SPP) estimation algorithmwhich exploits both temporal and spectral correlations of speech. To this end, the SPP estimation is formulated as the posterior probability estimation of the states of a two-dimensional (2D) Hidden Markov Model (HMM).
Dang Hai Tran Vu, Reinhold Haeb-Umbach
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Turbo-greedy coding for high data rate wireless communications: principles and robustness

IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202), 2002
We present a novel iterative-greedy demodulation-decoding algorithm for turbo codes for multiple antenna systems. The decoding algorithm is based on a previously introduced novel greedy detection method for multiuser communications. The iterative-greedy demodulation-decoding algorithm is characterized by the exchange of soft information between the ...
A. Stefanov   +2 more
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Turbo Coding in Communication Systems and Some Practical Applications of Turbo Principle

2014
In this study, turbo coding which is a kind of channel coding is analyzed and turbo principle that was derived from turbo decoding algorithm is described. Turbo principle based turbo reason has obtained great importance in practical life.
KULAÇ, Selman, SAZLI, Murat Hüsnü
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Notice of Violation of IEEE Publication Principles<BR>A novel stopping criterion for turbo decoding

2005 IEEE 61st Vehicular Technology Conference, 2005
This paper proposes a novel stopping criterion for turbo decoding. The new sign variation (SV) criterion calculates the difference of sign values between the extrinsic information of two consecutive iterations. Unlike the methods used so far, it requires no extra data storage.
E.I. Kalantzis, P.I. Dallas, B.S. Sharif
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Design of a proportional integral observer based on sliding mode principle for uncertain Takagi-Sugeno fuzzy systems: applications to a turbo-reactor

International Journal of Automation and Control, 2018
This work deals with the problem of state and fault estimation for systems described by Takagi-Sugeno fuzzy systems. The state and fault estimation is made using a proportional integral observer based on the sliding mode principle. Only sensor faults are considered in this work.
Ilyes Elleuch   +2 more
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