Iterative Viterbi decoding is an algorithm that spots the subsequence S of an observation O = {o1, ..., on} having the highest average probability (i.e...
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implementations of a Viterbi decoder. Viterbi decoding is used in the iterative Viterbi decoding algorithm. A hardware Viterbi decoder for basic (not punctured)...
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Wang et al. to deal with turbo code. Iterative Viterbi decoding works by iteratively invoking a modified Viterbi algorithm, reestimating the score for...
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Turbo code (section The decoder)
concatenated convolutional codes and repeat-accumulate codes. Iterative turbo decoding methods have also been applied to more conventional FEC systems...
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task are: Sliding window and garbage model K-best hypothesis Iterative Viterbi decoding Convolutional neural network on Mel-frequency cepstrum coefficients...
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trellis decoding using a time-invariant trellis. Time invariant trellis decoding allows convolutional codes to be maximum-likelihood soft-decision decoded with...
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decoding to conventional algebraic codes. In 2003, Ralf Koetter and Alexander Vardy presented a polynomial-time soft-decision algebraic list-decoding...
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further decoding iteration such as in the decoding of turbo codes. Examples include the BCJR algorithm and the soft output Viterbi algorithm. Decoding methods...
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often soft decoded with the Viterbi algorithm, though other algorithms are sometimes used. Viterbi decoding allows asymptotically optimal decoding efficiency...
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set Island algorithm Isotropic position Item response theory Iterative Viterbi decoding JOONE Jabberwacky Jaccard index Jackknife variance estimates for...
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given communications channel, and then decoding the original data reliably at the receiver, using encoding and decoding algorithms that are feasible to implement...
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forward error correction (FEC) codes highly suitable for turbo (iterative) decoding. Data to be transmitted over a noisy channel may first be encoded...
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Belief propagation (section Syndrome-based BP decoding)
into single nodes. A similar algorithm is commonly referred to as the Viterbi algorithm, but also known as a special case of the max-product or min-sum...
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codes like Reed–Solomon codes under algebraic decoding or for convolutional codes under Viterbi decoding, the BER steadily decreases in the form of a curve...
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Maximum-likelihood decoding using the eponymous Viterbi algorithm was proposed in 1967 by Andrew Viterbi as a means of decoding convolutional codes....
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integral part of the metric computation in a wide variety of iterative detection/decoding schemes. The pioneering research work on partial-response maximum-likelihood...
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function in the RHmm package for R. hmmtrain in MATLAB rustbio in Rust Viterbi algorithm Hidden Markov model EM algorithm Maximum likelihood Speech recognition...
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theorem-proving algorithm intended to work as a universal problem solver machine. Iterative deepening depth-first search (IDDFS): a state space search strategy Jump...
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correction code is based on the observation that the Viterbi decoder used for inner convolutional decoding produces short error bursts when there is a high...
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recording. This work in its various instantiations, including iterative detection/decoding schemes, is the core technology of the read channel module in...
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Kschischang For contributions to trellis structures, graphical models and iterative decoding techniques for error-correcting codes 2006 Luc Vandendorpe For contributions...
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long memory (severe intersymbol interference (ISI)) unknown memory (Viterbi decoders) possibly infinite memory (adaptive equalizers) In principle, the importance...
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Applications, 2006. H. Kim, H. Son. J. Lee, I. Kim and I. Kim, "An Analog Viterbi Decoder for PRML using Analog Parallel Processing Circuits of the CNN", Int’l...
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and the system, introduced by C. Rovelli. Viterbi algorithm, developed by the Italian-American Andrea Viterbi, found useful applications in mobile phones...
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tanners graph also helped explain the Viterbi algorithm. It is observed by Forney that Viterbi's maximum likelihood decoding of convolutional codes also used...
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