Monte Carlo Bayesian signal processing for wireless communications

Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology

Volumn 30, Issue 1-3, 2002, Pages 89-105

  Wang, Xiaodong ^a   Chen, Rong ^b   Liu, Jun S ^c  

^a Texas AandM University   (United States)

^b UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODE DIVISION MULTIPLE ACCESS; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTATIONAL COMPLEXITY; MARKOV PROCESSES; MONTE CARLO METHODS; RAYLEIGH FADING; SIGNAL PROCESSING;

BAYESIAN SIGNAL PROCESSING;

WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 0036125627     PISSN: 13875485     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1014094724899     Document Type: Article

References (39)

1. A systematic approach to carrier recovery and detection of digitally phase modulated signals on fading channels
2. Equations of state calculations by fast computing machines
3. Monte Carlo sampling methods using markov chains and their applications
4. Stochastic relaxation, gibbs distribution, and the Bayesian restoration of images
5. The calculation of posterior distribution by data augmentation (with discussion)
6. Sampling-based approaches to calculating marginal densities
7. The collapsed gibbs sampler with applications to a gene regulation problem
8. Markov chain Monte Carlo maximum likelihood
9. The use of multiple-try method and local optimization in metropolis sampling
10. p model sampling and change point problem
11. Adaptive Bayesian multiuser detection for synchronous cdma in Gaussian and impulsive noise
12. The turbo principle: Tutorial introduction and state of the art
13. Optimal decoding of linear codes for minimizing symbol error rate
14. The Bayesian approach and alternatives in econometrics
15. Rejection control for sequential importance sampling
16. A novel approach to nonlinear/non-Gaussian Bayesian state estimation
17. Blind deconvolution via sequential imputations
18. Sequential Monte Carlo methods for dynamic systems
19. Mixture kalman filters
20. Adaptive joint detection and decoding in flat-fading channels via mixture kalman filtering
21. Bayesian blind turbo receiver for coded OFDM systems with frequency offset and frequency-selective fading
22. Bayesian turbo multiuser detection for nonlinearly modulated CDMA
23. Blind turbo equalization in Gaussian and impulsive noise
24. Bayesian Monte Carlo multiuser receiver for space-time coded multi-carrier CDMA systems
25. Blind turbo multiuser detection for long-code multipath CDMA
26. Turbo equalization for GMSK signaling over multipath channels based on the gibbs sampler