Classification of digital modulations by MCMC sampling

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2001, Pages 2553-2556

  Lesage, Stéphane ^a   Tourneret, Jean Yves ^a   Djurić, Petar M ^b  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b Stony Brook University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION CHANNELS (INFORMATION THEORY); DIGITAL COMMUNICATION SYSTEMS; FIR FILTERS; MARKOV PROCESSES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; PROBABILITY DENSITY FUNCTION; SIGNAL FILTERING AND PREDICTION;

BAYES CLASSIFIER; CHANNEL EQUALIZATION; DIGITAL MODULATION CLASSIFICATION; RESIDUAL FILTERING EFFECTS;

MODULATION;

EID: 0034854323     PISSN: 15206149     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICASSP.2001.940522     Document Type: Article

References (15)

1. A general maximum-likelihood classifier for modulation classification
2. Digital modulation classification using constellation shape
3. Hierarchical digital modulation classification using cumulants
4. Modulation classification via hierarchical agglomerative cluster analysis
5. Signal classification using statistical moments
6. A new method of modulation classification for digitally modulated signals
7. Identification of digital modulation types using the wavelet transform
8. Maximum likelihood classification for digital amplitude-phase modulations
9. Special issue on MCMC methods in signal processing
10. Special session on Bayesian methods
11. Introducing Markov chain Monte Carlo
12. Understanding the Metropolis algorithm
13. Inference and monitoring convergence