Results 31 to 40 of about 3,574 (177)
BMC Bioinformatics, 2005 Background Structure prediction of membrane proteins is still a challenging computational problem. Hidden Markov models (HMM) have been successfully applied to the problem of predicting membrane protein topology.
Martelli Pier +2 more
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Ibis, EarlyView.While many visual predators feed exclusively during the day, others exploit foraging opportunities at night, although the efficiency with which they do so is strongly influenced by ambient light levels. We investigated the influence of variation in nocturnal light on the foraging behaviour of a small pelagic seabird, the European Storm‐petrel ...
Darren Wilkinson +3 more
wiley +1 more source
Phase Offset Tracking for Free Space Digital Coherent Optical Communication System
Applied Sciences, 2019 The coherent receiving method can improve the sensitivity of an optical signal receiver for free space optical communication system effectively. To implement coherent receiving, the phase offset between the local laser in the receiver and the received ...
Hongwei Li +5 more
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Research on Protein Complex Recognition Using Hidden Markov Model
Jisuanji kexue yu tansuo, 2021 The construction of dynamic protein networks and the recognition of protein complexes are the hot topics in the current research of bioinformatics.
LI Peng, LUO Aijing, MIN Hui, TAN Sunyi, GUO Huimin
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The Viterbi algorithm and Markov noise memory [PDF]
IEEE Transactions on Information Theory, 2000 Summary: This work designs sequence detectors for channels with intersymbol interference and correlated (and/or signal-dependent) noise. We describe three major contributions. i) First, by modeling the noise as a finite-order Markov process, we derive the optimal maximum-likelihood sequence detector (MLSD) and the optimal maximum a posteriori (MAP ...
Aleksandar Kavcic, José M. F. Moura
openaire +2 more sources
Multiple Chains Markov Switching Vector Autoregression
Journal of Time Series Analysis, EarlyView.ABSTRACT Both the U.S. stock and bond returns exhibit distinct Markovian regimes. However, because these regimes display limited coherence, conventional models typically require highly parameterized systems to adequately capture their joint distribution.
Leopoldo Catania
wiley +1 more source
A Protein Sequence Analysis Hardware Accelerator Based on Divergences
International Journal of Reconfigurable Computing, 2012 The Viterbi algorithm is one of the most used dynamic programming algorithms for protein comparison and identification, based on hidden markov Models (HMMs).
Juan Fernando Eusse +3 more
doaj +1 more source
Tackling nonlinear price impact with linear strategies
Mathematical Finance, Volume 35, Issue 2, Page 422-440, April 2025.Abstract Empirical studies in various contexts find that the price impact of large trades approximately follows a power law with exponent between 0.4 and 0.7. Yet, tractable formulas for the portfolios that trade off predictive trading signals, risk, and trading costs in an optimal manner are only available for quadratic costs corresponding to linear ...
Xavier Brokmann +3 more
wiley +1 more source
Optimal Estimation and Sequential Channel Equalization Algorithms for Chaotic Communications Systems
EURASIP Journal on Advances in Signal Processing, 2001 Many previously proposed communications systems based on chaos disregard common channel distortions and fail to work under realistic channel conditions.
Douglas B. Williams, Mahmut Ciftci
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Scandinavian Journal of Statistics, EarlyView.ABSTRACT Two major tasks in applications of hidden Markov models are to (i) compute distributions of summary statistics of the hidden state sequence, and (ii) decode the hidden state sequence. We describe finite Markov chain imbedding (FMCI) and hybrid decoding to solve each of these two tasks.
Zenia Elise Damgaard Bæk +3 more
wiley +1 more source