Results 191 to 200 of about 57,448 (230)
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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 ...
Karin S Dorman, Aditya Ramamoorthy
exaly +2 more sources
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 ...
Karin S Dorman, Aditya Ramamoorthy
exaly +2 more sources
A generalized turbo principle for approximate detection and decoding
2008 IEEE International Symposium on Information Theory, 2008Optimal 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 ...
exaly +2 more sources
Continuous Decoding Based on Turbo Principle for Indoor UWB Channel
2006 10th IEEE Singapore International Conference on Communication Systems, 2006This 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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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).
Reinhold Haeb-Umbach
exaly +2 more sources
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).
Reinhold Haeb-Umbach
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Guest editorial the turbo principle: from theory to practice
IEEE Journal on Selected Areas in Communications, 2001P.H. Siegel +5 more
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A Chaos MIMO Transmission Scheme Using Turbo Principle for Secure Channel-Coded Transmission
IEICE Transactions on Communications, 2015Eiji Okamoto
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Turbo and Turbo-Like Codes: Principles and Applications in Telecommunications
Proceedings of the IEEE, 2007For decades, the de facto standard for forward error correction was a convolutional code decoded with the Viterbi algorithm, often concatenated with another code (e.g., a Reed-Solomon code). But since the introduction of turbo codes in 1993, much more powerful codes referred to collectively as turbo and turbo-like codes have eclipsed classical methods.
Ken Gracie, Marie-Helene Hamon
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Turbo equalization: principles and new results
IEEE Transactions on Communications, 2002We study the turbo equalization approach to coded data transmission over channels with intersymbol interference. In the original system invented by Douillard et al. (1995), the data are protected by a convolutional code and the receiver consists of two trellis-based detectors, one for the channel (the equalizer) and one for the code (the decoder).
M. Tuchler, R. Koetter, A.C. Singer
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Turbo estimation algorithms: general principles, and applications to modal analysis
Signal Processing, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LO PRESTI, Letizia +2 more
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Softbit-source decoding based on the turbo-principle
IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211), 2002This contribution deals with a robust decoding approach of source codec parameters called softbit-source decoding. It can be considered as an error concealment technique which estimates codec parameters at the receiver utilizing the residual redundancy remaining after source coding and the channel decoder reliability information.
M. Adrat, J.-M. Picard, P. Vary
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