Modulation classification in fading channels using antenna arrays, IEEE MILCOM 2004. Military Communications Conference, 2004., pp.211-217, 2004. ,
DOI : 10.1109/MILCOM.2004.1493271
Multilevel sequential monte carlo algorithms for MIMO demodulation Wireless Communications, IEEE Transactions on, vol.6, issue.2, pp.750-758 ,
Modulation classification of QAM and PSK from their constellation using genetic algorithm and hierarchical clustering Information and Communication Technologies: From Theory to Applications, ICTTA 2008. 3rd International Conference on, pp.1-54530242, 2008. ,
Semi-blind channel identification and equalization in OFDM: an expectation-maximization approach, Proceedings IEEE 56th Vehicular Technology Conference, 2002. ,
DOI : 10.1109/VETECF.2002.1040292
Sequential Coding Algorithms: A Survey and Cost Analysis, IEEE Transactions on Communications, vol.32, issue.2, pp.1988169-176, 1984. ,
DOI : 10.1109/TCOM.1984.1096023
Estimation When a Parameter is on a Boundary, Econometrica, vol.67, issue.6, pp.1341-1383, 1999. ,
DOI : 10.1111/1468-0262.00082
Testing When a Parameter is on the Boundary of the Maintained Hypothesis, Econometrica, vol.69, issue.3, 2001. ,
DOI : 10.1111/1468-0262.00210
Blind channel estimation and data detection using hidden Markov models, Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, pp.241-247, 1997. ,
DOI : 10.1109/78.552223
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.369
Random channel coding and blind deconvolution, 2009 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2009. ,
DOI : 10.1109/ALLERTON.2009.5394881
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.7268
Optimal decoding of linear codes for minimizing symbol error rate (corresp.) Information Theory, IEEE Transactions on, vol.20, issue.2, pp.284-287, 1974. ,
Compressed channel sensing, 2008 42nd Annual Conference on Information Sciences and Systems, pp.5-10, 2008. ,
DOI : 10.1109/CISS.2008.4558485
Compressed sensing of wireless channels in time, frequency, and space, 2008 42nd Asilomar Conference on Signals, Systems and Computers, pp.2048-2052, 2008. ,
DOI : 10.1109/ACSSC.2008.5074792
Learning sparse doubly-selective channels, 2008 46th Annual Allerton Conference on Communication, Control, and Computing, pp.575-582, 2008. ,
DOI : 10.1109/ALLERTON.2008.4797610
Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels, Proc. IEEE, 2010. ,
DOI : 10.1109/JPROC.2010.2042415
A comparison of approximate Viterbi techniques and particle filtering for data estimation in digital communications, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010. ,
DOI : 10.1109/ICASSP.2010.5495842
On Approximate Maximum-Likelihood Methods for Blind Identification: How to Cope With the Curse of Dimensionality, Proc. 9th IEEE Workshop Signal Processing Advances Wireless Communications, pp.639-643, 2008. ,
DOI : 10.1109/TSP.2009.2024283
On optimal sampling for particle filtering in digital communication, 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications, pp.634-638, 2008. ,
DOI : 10.1109/SPAWC.2008.4641685
On Approximate Maximum-Likelihood Methods for Blind Identification: How to Cope With the Curse of Dimensionality, IEEE Transactions on Signal Processing, vol.57, issue.11, pp.4247-4259, 2009. ,
DOI : 10.1109/TSP.2009.2024283
The expectation and sparse maximization algorithm, Journal of Communications and Networks, vol.12, issue.4, 2010. ,
DOI : 10.1109/JCN.2010.6388468
Maximum likelihood blind deconvolution for sparse systems, 2010 2nd International Workshop on Cognitive Information Processing, 2010. ,
DOI : 10.1109/CIP.2010.5604139
A sparse EM algorithm for blind and semiblind identification of doubly selective OFDM channels, Proc. 11th IEEE Workshop Signal Processing Advances Wireless Communications, 2010. ,
Mlse and map equalization for transmission over doubly selective channels. Vehicular Technology, IEEE Transactions on, vol.58, issue.8, pp.4120-4128 ,
DOI : 10.1109/tvt.2009.2024537
A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains, The Annals of Mathematical Statistics, vol.41, issue.1, pp.164-171, 1970. ,
DOI : 10.1214/aoms/1177697196
Deterministic particle receiver for multipath fading channels in wireless communications. part I: FDMA. Traitement du Signal, pp.347-358, 2004. ,
Trellis-based search of the maximum a posteriori sequence using particle filtering, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., pp.693-696, 2003. ,
DOI : 10.1109/ICASSP.2003.1201776
On particle filtering for digital communications, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2003 (IEEE Cat. No.03EX689), pp.570-574, 2003. ,
DOI : 10.1109/SPAWC.2003.1319025
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.1839
Asymptotic normality of the maximum-likelihood estimator for general hidden Markov models, The Annals of Statistics, vol.26, issue.4, pp.1614-1635, 1998. ,
DOI : 10.1214/aos/1024691255
A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models, 1997. ,
Particle Filters for Joint Blind Equalization and Decoding in Frequency-Selective Channels, IEEE Transactions on Signal Processing, vol.56, issue.6, pp.2395-2405, 2008. ,
DOI : 10.1109/TSP.2007.914965
Smoothing algorithms for state???space models, Annals of the Institute of Statistical Mathematics, vol.4, issue.4, 2004. ,
DOI : 10.1007/s10463-009-0236-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.5006
Decoding by linear programming Information Theory, IEEE Transactions on, vol.51, issue.12, pp.4203-4215, 2005. ,
DOI : 10.1109/tit.2005.858979
URL : http://arxiv.org/abs/math/0502327
Near-optimal signal recovery from random projections: Universal encoding strategies? Information Theory, IEEE Transactions on, vol.52885507, issue.12, pp.5406-5425, 2006. ,
Inference in Hidden Markov Models, 2007. ,
Improved particle filter for nonlinear problems. Radar, Sonar and Navigation, IEE Proceedings, vol.146, issue.1, pp.2-7, 1999. ,
Edge-based best-first chart parsing, Proceedings of the Sixth Workshop on Very Large Corpora, 1998. ,
Adaptive joint detection and decoding in flat-fading channels via mixture Kalman filtering. Information Theory, IEEE Transactions on, vol.46, issue.6, pp.2079-2094, 2000. ,
Atomic decomposition by basis pursuit, SIAM Journal on Scientific Computing, vol.2020331, issue.1, pp.33-61, 1998. ,
DOI : 10.1137/s003614450037906x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.7694
Discriminative training methods for hidden Markov models, Proceedings of the ACL-02 conference on Empirical methods in natural language processing , EMNLP '02, pp.1-8, 2002. ,
DOI : 10.3115/1118693.1118694
Adaptive Sequential Monte Carlo Methods, 2009. ,
Sparse channel estimation via matching pursuit with application to equalization, IEEE Transactions on Communications, vol.50, issue.3, pp.374-377, 2002. ,
DOI : 10.1109/26.990897
Convergence of sequential Monte Carlo methods, 2000. ,
A survey of convergence results on particle filtering methods for practitioners, IEEE Transactions on Signal Processing, vol.50, issue.3, pp.736-746, 2002. ,
DOI : 10.1109/78.984773
Feynman-Kac Formulae, 2004. ,
URL : https://hal.archives-ouvertes.fr/hal-00426415
Large Deviations Techniques and Applications (Stochastic Modelling and Applied Probability), 1999. ,
DOI : 10.1007/978-1-4612-5320-4
Maximum-likelihood from incomplete data via the EM algorithm, Journal of the Royal Statistical Society, vol.39, issue.1, pp.1-38, 1977. ,
Applications of particle filtering to communications: A review, pp.169-172, 2002. ,
Signal processing by particle filtering for binary sensor networks, Digital Signal Processing Workshop and the 3rd IEEE Signal Processing Education Workshop, pp.263-267, 2004. ,
Likelihood-Based Algorithms for Linear Digital Modulation Classification in Fading Channels, 2006 Canadian Conference on Electrical and Computer Engineering, pp.1347-1350, 2006. ,
DOI : 10.1109/CCECE.2006.277525
Survey of automatic modulation classification techniques: classical approaches and new trends, IET Communications, vol.1, issue.2, pp.137-156, 2007. ,
DOI : 10.1049/iet-com:20050176
For most large underdetermined systems of equations, the minimal ???1-norm near-solution approximates the sparsest near-solution, Communications on Pure and Applied Mathematics, vol.50, issue.7, pp.907-934, 2006. ,
DOI : 10.1002/cpa.20131
Limit theorems for weighted samples with applications to sequential Monte Carlo methods, The Annals of Statistics, vol.36, issue.5, pp.2344-2376, 2008. ,
DOI : 10.1214/07-AOS514
URL : https://hal.archives-ouvertes.fr/hal-00005896
On sequential Monte Carlo sampling methods for Bayesian filtering, Statistics and Computing, vol.10, issue.3, pp.197-208, 2000. ,
DOI : 10.1023/A:1008935410038
Sequential Monte Carlo in Practice, 2001. ,
Learning a* underestimates : Using inference to guide inference, Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS 07), pp.99-106, 2007. ,
DNA binding specificity of different STAT proteins, J. Biol. Chem, vol.2762766675, issue.99, pp.6675-6688, 2001. ,
Reduced-state sequence estimation for trellis-coded modulation on intersymbol interference channels. Global Telecommunications Conference, 1988, and Exhibition, Communications for the Information Age.' Conference Record, GLOBECOM '88, pp.878-882, 1988. ,
DOI : 10.1109/glocom.1988.25963
On-line inference for hidden Markov models via particle filters, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.3, issue.4, pp.887-899, 2003. ,
DOI : 10.1016/0005-1098(82)90012-7
A sequential smoothing algorithm with linear computational cost. submitted, 2008. ,
DOI : 10.1093/biomet/asq013
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.9708
Algorithms for joint channel estimation and data recovery-application to equalization in underwater communications, IEEE Journal of Oceanic Engineering, vol.16, issue.1, pp.42-55, 1991. ,
DOI : 10.1109/48.64884
Maximum-likelihood sequence estimation of digital sequences in the presence of intersymbol interference. Information Theory, IEEE Transactions on, vol.18, issue.3, pp.363-378, 1972. ,
The viterbi algorithm, Proceedings of the IEEE, vol.61, issue.3, pp.268-278, 1973. ,
DOI : 10.1109/PROC.1973.9030
Multipath time-delay estimation ICASSP-97, Acoustics, Speech, and Signal Processing IEEE International Conference on, pp.527-530, 1997. ,
DOI : 10.1109/icassp.1997.599691
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.150.4498
Optimal error exponents in hidden Markov models order estimation Information Theory, IEEE Transactions on, vol.49809574, issue.4, pp.964-980, 2003. ,
DOI : 10.1109/tit.2003.809574
Sequence estimation in the presence of random parameters via the EM algorithm, IEEE Transactions on Communications, vol.45, issue.3, pp.300-308, 1997. ,
DOI : 10.1109/26.558691
A sequential Monte Carlo method for adaptive blind timing estimation and data detection, IEEE Transactions on Signal Processing, vol.53, issue.8, pp.2855-2865, 2005. ,
DOI : 10.1109/TSP.2005.850372
The Digital Signal Processing Handbook, chapter Cyclostationary Signal Analysis, 1998. ,
Identification of nonminimum phase systems using higher order statistics. Acoustics, Speech and Signal Processing, IEEE Transactions on, vol.37, issue.3, pp.360-377, 1989. ,
Basis expansion models and diversity techniques for blind identification and equalization of time-varying channels, Proceedings of the IEEE, vol.86, issue.10, pp.1969-1986, 1998. ,
DOI : 10.1109/5.720248
Likelihood-Ratio Tests for Hidden Markov Models, Biometrics, vol.39, issue.3, pp.742-747, 2000. ,
DOI : 10.1111/j.0006-341X.2000.00742.x
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.5732
Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems, IEEE Transactions on Communications, vol.28, issue.11, pp.1867-1875, 1980. ,
DOI : 10.1109/TCOM.1980.1094608
Maximum a posteriori sequence estimation using Monte Carlo particle filters, Annals of the Institute of Statistical Mathematics, vol.53, issue.1, pp.82-96, 2001. ,
DOI : 10.1023/A:1017968404964
Monte Carlo Smoothing for Nonlinear Time Series, Journal of the American Statistical Association, vol.99, issue.465, pp.156-16800000465, 2004. ,
DOI : 10.1198/016214504000000151
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.9494
Novel approach to nonlinear/non-Gaussian Bayesian state estimation. Radar and Signal Processing, IEE Proceedings F, vol.140, issue.2, pp.107-113, 1993. ,
DOI : 10.1049/ip-f-2.1993.0015
Multilevel Mixture Kalman Filter, EURASIP Journal on Advances in Signal Processing, vol.2004, issue.15, pp.2255-2266, 2004. ,
DOI : 10.1155/S1110865704403229
URL : http://doi.org/10.1155/s1110865704403229
On the likelihood-based approach to modulation classification, IEEE Transactions on Wireless Communications, vol.8, issue.12, pp.5884-5892 ,
DOI : 10.1109/TWC.2009.12.080883
A Theoretical Framework for Iterative Synchronization Based on the Sum–Product and the Expectation-Maximization Algorithms, IEEE Transactions on Signal Processing, vol.55, issue.5, pp.1644-1658, 2007. ,
DOI : 10.1109/TSP.2006.890828
Estimation de canal radio-mobile à évolution rapide dans les systèmes à modulation OFDM, 2008. ,
Polynomial Estimation of Time-Varying Multipath Gains With Intercarrier Interference Mitigation in OFDM Systems, IEEE Transactions on Vehicular Technology, vol.58, issue.1, pp.140-151, 2009. ,
DOI : 10.1109/TVT.2008.923653
Joint data QR-detection and Kalman estimation for OFDM time-varying Rayleigh channel complex gains, IEEE Transactions on Communications, vol.58, issue.1, pp.170-178, 2010. ,
DOI : 10.1109/TCOMM.2010.01.080296
URL : https://hal.archives-ouvertes.fr/hal-00447390
Maximum likelihood BPSK and QPSK classifier in fading environment using the EM algorithm. System Theory, SSST '06. Proceeding of the Thirty-Eighth Southeastern Symposium on, pp.313-317, 2006. ,
BPSK and QPSK modulation classification with unknown signal level, MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No.00CH37155), pp.976-980, 2000. ,
DOI : 10.1109/MILCOM.2000.904076
Likelihood methods for MPSK modulation classification, IEEE Transactions on Communications, vol.43, issue.2/3/4, pp.1493-1504, 1995. ,
DOI : 10.1109/26.380199
EM-based soft noncoherent equalization of doubly selective channels using tree search and basis expansion, 2009 IEEE 10th Workshop on Signal Processing Advances in Wireless Communications, pp.6-10, 2009. ,
DOI : 10.1109/SPAWC.2009.5161736
A smoothing filter for condensation, Proc 5th European Conf. Computer Vision, pp.767-781, 1998. ,
DOI : 10.1007/BFb0055703
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.37.1691
Statistical Methods for Speech Recognition (Language , speech, and communication series, 1997. ,
Blind equalization using the constant modulus criterion: a review, Proceedings of the IEEE, pp.1927-1950, 1998. ,
DOI : 10.1109/5.720246
URL : http://backhoe.ee.cornell.edu/BERG/publications/proc98.ps.gz
Joint parameter estimation and symbol detection for linear or nonlinear unknown channels, IEEE Transactions on Communications, vol.42, issue.7, pp.2406-2413, 1994. ,
DOI : 10.1109/26.297849
New Results in Linear Filtering and Prediction Theory, Journal of Basic Engineering, vol.83, issue.1, pp.95-108, 1961. ,
DOI : 10.1115/1.3658902
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.361.6851
The two-filter formula for smoothing and an implementation of the Gaussian-sum smoother, Annals of the Institute of Statistical Mathematics, vol.81, issue.6/7, pp.605-623, 1994. ,
DOI : 10.1007/BF00773470
Monte Carlo filter and smoother for non-Gaussian nonlinear state space models, Journal of Computational and Graphical Statistics, vol.5, issue.1, pp.1-25, 1996. ,
DOI : 10.1080/10618600.1996.10474692
Channel estimation and equalization in fading, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020), pp.1159-1163, 1999. ,
DOI : 10.1109/ACSSC.1999.831890
URL : http://infoscience.epfl.ch/record/99996
Sequential Imputations and Bayesian Missing Data Problems, Journal of the American Statistical Association, vol.52, issue.425, pp.278-288, 1994. ,
DOI : 10.1080/01621459.1987.10478458
Modulation classification of signals in unknown ISI environments, Proceedings of MILCOM '95, pp.170-174, 1995. ,
DOI : 10.1109/MILCOM.1995.483293
Testing Statistical Hypotheses, 2005. ,
Blind estimation and detection of space-time trellis coded transmissions over the Rayleigh fading MIMO channel, IEEE Transactions on Communications, vol.56, issue.3, pp.334-338, 2008. ,
DOI : 10.1109/TCOMM.2008.040263
URL : https://hal.archives-ouvertes.fr/hal-01342723
The adjusted Viterbi training for hidden Markov models, Bernoulli, vol.14, issue.1, 2007. ,
DOI : 10.3150/07-BEJ105
Semi-Blind Channel Estimation for Rapidly Time-Varying Channels, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005., pp.773-783, 2005. ,
DOI : 10.1109/ICASSP.2005.1415824
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.418.1904
Deterministic subspace based blind channel estimation for doublyselective channels, Signal Processing Advances in Wireless Communications, pp.210-214, 2003. ,
DOI : 10.1109/spawc.2003.1318952
Estimation of rapidly time-varying sparse channels. Oceanic Engineering, IEEE Journal, vol.32, issue.4, pp.927-939, 2007. ,
Blind Deconvolution via Sequential Imputations, Journal of the American Statistical Association, vol.23, issue.430, pp.567-576, 1995. ,
DOI : 10.1002/9780470316696
Sequential Monte Carlo Methods for Dynamic Systems, Journal of the American Statistical Association, vol.24, issue.443, pp.1032-1044, 1998. ,
DOI : 10.1073/pnas.94.26.14220
Estimation of time-varying frequency-selective channels using a matching pursuit technique, Wireless Communications and Networking, pp.941-946, 2003. ,
Matching pursuits with time-frequency dictionaries, IEEE Transactions on Signal Processing, vol.41, issue.12, pp.413397-3415, 1993. ,
DOI : 10.1109/78.258082
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.335.5769
A solution of the smoothing problem for linear dynamic systems, Automatica, vol.4, issue.2, pp.73-92, 1966. ,
DOI : 10.1016/0005-1098(66)90019-7
Bayesian ML Sequence Detection for ISI Channels, 2006 40th Annual Conference on Information Sciences and Systems, pp.693-698, 2006. ,
DOI : 10.1109/CISS.2006.286556
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.118.123
Blind and semi-blind equalization of CPM signals with the EMV algorithm, IEEE Transactions on Signal Processing, vol.51, issue.10, pp.2650-2664, 2003. ,
DOI : 10.1109/TSP.2003.816876
The Expectation-Maximization Viterbi Algorithm for Blind Adaptive Channel Equalization, IEEE Transactions on Communications, vol.53, issue.10, pp.1671-1678, 2005. ,
DOI : 10.1109/TCOMM.2005.857162
Addressing network survivability issues by finding the K-best paths through a trellis graph, Proceedings of INFOCOM '97, pp.370-377635161, 1997. ,
DOI : 10.1109/INFCOM.1997.635161
A one pass decoder design for large vocabulary recognition, Proceedings of the workshop on Human Language Technology , HLT '94, pp.405-410, 1994. ,
DOI : 10.3115/1075812.1075905
Sequential Monte Carlo smoothing with application to parameter estimation in nonlinear state space models, Bernoulli, vol.14, issue.1, pp.155-179, 2008. ,
DOI : 10.3150/07-BEJ6150
URL : https://hal.archives-ouvertes.fr/hal-00096080
Likelihood ratio tests for modulation classification, MILCOM 2000 Proceedings. 21st Century Military Communications. Architectures and Technologies for Information Superiority (Cat. No.00CH37155), pp.670-674, 2000. ,
DOI : 10.1109/MILCOM.2000.904013
Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, pp.40-44, 1993. ,
DOI : 10.1109/ACSSC.1993.342465
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.348.5735
Sparsity in time?frequency representations, Journal of Fourier Analysis and Applications ,
DOI : 10.1007/s00041-009-9086-9
URL : http://arxiv.org/abs/0711.2503
Filtering via simulation: auxiliary particle filters Economics Papers 1997-W13, Economics Group, Nuffield College, 1999. ,
DOI : 10.1080/01621459.1999.10474153
URL : http://www.tandfonline.com/doi/pdf/10.1080/07350015.2015.1052457
Blind equalization of digital communication channels using high-order moments, IEEE Transactions on Signal Processing, vol.39, issue.2, pp.522-526, 1991. ,
DOI : 10.1109/78.80846
Sequential Monte Carlo Methods for Digital Communications, 2003. ,
A tutorial on hidden Markov models and selected applications in speech recognition, Proceedings of the IEEE, pp.257-286, 1989. ,
A parallel Viterbi decoder for block cyclic and convolution codes, Signal Processing, vol.86, issue.2, pp.273-278, 2006. ,
DOI : 10.1016/j.sigpro.2005.05.016
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.2502
Modeling by shortest data description, Automatica, vol.14, issue.5, pp.465-471, 1978. ,
DOI : 10.1016/0005-1098(78)90005-5
Beyond the Kalman filter: particle filters for tracking applications, 2004. ,
Probabilistic Top-Down Parsing and Language Modeling, Computational Linguistics, vol.21, issue.2, pp.249-276, 2001. ,
DOI : 10.1006/csla.1996.0011
A comparison of optimal and sub-optimal MAP decoding algorithms operating in the log domain, Proceedings IEEE International Conference on Communications ICC '95, pp.1009-1013, 1995. ,
DOI : 10.1109/ICC.1995.524253
Bayesian MLSD for multipath Rayleigh fading channels, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2845-2848, 2008. ,
DOI : 10.1109/ICASSP.2008.4518242
Low-Complexity Equalization of OFDM in Doubly Selective Channels, IEEE Transactions on Signal Processing, vol.52, issue.4, pp.1002-1011, 2004. ,
DOI : 10.1109/TSP.2004.823503
Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978. ,
DOI : 10.1214/aos/1176344136
Joint data and channel estimation using blind trellis search techniques, IEEE Transactions on Communications, vol.42, issue.2/3/4, pp.1000-1011, 1994. ,
DOI : 10.1109/TCOMM.1994.580208
List Viterbi decoding algorithms with applications, IEEE Transactions on Communications, vol.42, issue.2/3/4, pp.313-323, 1994. ,
DOI : 10.1109/TCOMM.1994.577040
Asymptotic distribution of test statistics in the analysis of moment structures under inequality constraints, Biometrika, vol.72, issue.1, pp.133-144, 1985. ,
DOI : 10.1093/biomet/72.1.133
Estimation of sparse multipath channels, MILCOM 2008, 2008 IEEE Military Communications Conference, pp.1-7, 2008. ,
DOI : 10.1109/MILCOM.2008.4753291
Breadth-first trellis decoding with adaptive effort, IEEE Transactions on Communications, vol.38, issue.1, pp.3-12, 1990. ,
DOI : 10.1109/26.46522
Blind fractionally-spaced equalization, perfect-reconstruction filter banks and multichannel linear prediction, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing, pp.585-588, 1994. ,
DOI : 10.1109/ICASSP.1994.389749
A compressed sensing technique for OFDM channel estimation in mobile environments: Exploiting channel sparsity for reducing pilots, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2885-2888, 2008. ,
DOI : 10.1109/ICASSP.2008.4518252
Compressive estimation of doubly selective channels in multicarrier systems: Leakage effects and sparsity-enhancing processing. Selected Topics in Signal Processing, IEEE Journal, vol.4, issue.2, pp.255-271, 2010. ,
Compressive estimation of doubly selective channels in multicarrier systems: Leakage effects and sparsity-enhancing processing. Selected Topics in Signal Processing, IEEE Journal, vol.4, issue.2, pp.255-271, 2010. ,
Regression shrinkage and selection via the Lasso, J. Royal. Statist. Soc B, vol.58, pp.267-288, 1996. ,
DOI : 10.1111/j.1467-9868.2011.00771.x
Sparse Bayesian learning and the relevance vector machine, Journal of Machine Learning Research, vol.1, pp.211-244, 2001. ,
Greed is good: algorithmic results for sparse approximation Information Theory, IEEE Transactions on, vol.50, issue.10, pp.2231-2242, 2004. ,
DOI : 10.1109/tit.2004.834793
URL : http://authors.library.caltech.edu/9035/1/TROieeetit04a.pdf
Recovery of short, complex linear combinations via l1 minimization Information Theory, IEEE Transactions on, vol.51844057, issue.4, pp.1568-1570, 2005. ,
Fundamentals of Wireless Communication, 2005. ,
DOI : 10.1017/CBO9780511807213
Detection and estimation for abruptly changing systems. Decision and Control including the Symposium on Adaptive Processes, 20th IEEE Conference on, pp.1357-1362, 1981. ,
DOI : 10.1109/cdc.1981.269460
Identification of linear stochastic systems via second-and fourth-order cumulant matching. Information Theory, IEEE Transactions on, vol.33, issue.3, pp.393-407, 1987. ,
Doubly Selective Channel Estimation Using Exponential Basis Models and Subblock Tracking, IEEE Transactions on Signal Processing, vol.58, issue.3, pp.1275-1289, 2009. ,
DOI : 10.1109/TSP.2009.2036047
Bayesian compressed sensing imaging using a Gaussian Scale Mixture, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 2010. ,
DOI : 10.1109/ICASSP.2010.5495397
ML estimation of time and frequency offset in OFDM systems, IEEE Transactions on Signal Processing, vol.45, issue.7, pp.1800-1805, 1997. ,
DOI : 10.1109/78.599949
Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. Information Theory, IEEE Transactions on, vol.13, issue.2, pp.260-269, 1967. ,
Sequential Monte Carlo localization in mobile sensor networks Wireless Networks, pp.481-495, 2009. ,
Blind cyclostationary statistics based carrier frequency offset and symbol timing delay estimators in flat-fading channels Communications for Network-Centric Operations: Creating the Information Force, Military Communications Conference, pp.1389-1393, 2001. ,
Maximum-likelihood classification for digital amplitude-phase modulations, IEEE Transactions on Communications, vol.48, issue.2, pp.189-193, 2000. ,
DOI : 10.1109/26.823550
A least-squares approach to blind channel identification, Signal Processing IEEE Transactions on, vol.43, issue.12, pp.2982-2993, 1995. ,
A Blind Sequential Monte Carlo Detector for OFDM Systems in the Presence of Phase Noise, Multipath Fading, and Channel Order Uncertainty, Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, pp.4581-4598, 2007. ,
DOI : 10.1109/TSP.2007.896023
different SNRs after 10 iterations of sparse EM, 5 initializations, 2 random delays and Doppler frequencies, sp. EM = sparse EM algorithm, semi-blind(5) = pilot at every 5th symbol, p.110 ,
Acquisition probabilities in a 16, p.86 ,
percentage of correct estimation of the true model, p.123 ,
150 A.28 BUx, K, probabilité de l'estimation du vrai modèle 150 A.29 BUx, K, probabilité de l'estimation du vrai modèle 150 A.30 taux d'erreur global, A.27 Paramètres de simulation pour le choix, p.150 ,