Results 191 to 200 of about 1,541,181 (239)
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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 ...
Lars P. B. Christensen
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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 ...
Aditya Ramamoorthy, Karin Dorman
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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 ...
Aditya Ramamoorthy, Karin Dorman
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Improved Turbo Decoding Using Soft Combining Principle
Wireless Personal Communications, 2014One great challenge in wireless communication systems is to ensure reliable communications. Turbo codes are known by their interesting capabilities to deal with transmission errors. In this paper, we present a novel turbo decoding scheme based on soft combining principle.
Moussaoui Mohamed
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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
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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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A novel ARQ technique using the turbo coding principle
IEEE Communications Letters, 1997A novel automatic repeat request (ARQ) technique based on the turbo coding principle is presented. The technique uses the log-likelihood ratios generated by the decoder during a previous transmission as a priori information when decoding retransmissions. Simulation results show a significant decrease in frame error rate, especially at low-to-moderate E/
K R Narayanan, G L Stüber
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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 ...
Hongbo Zhu
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Guest editorial the turbo principle: from theory to practice
IEEE Journal on Selected Areas in Communications, 2001P H Siegel, D Divsalar, E Eleftheriou
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The turbo principle in joint source-channel coding
Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674), 2003The turbo principle (iterative decoding between component decoders) is a general scheme, which we apply to joint source-channel decoding. As a realistic example (e.g., speech parameter coding), we discuss joint source-channel decoding for auto-correlated continuous-amplitude source samples. At the transmitter, the source samples are quantized and their
J. Hagenauer, N. Goertz
semanticscholar +2 more sources
Softbit-source decoding based on the turbo-principle
IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211), 2001This 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. Picard, P. Vary
semanticscholar +2 more sources

