2008 |
11 | EE | Manuel A. Vázquez,
Mónica F. Bugallo,
Joaquín Míguez:
Sequential Monte Carlo methods for complexity-constrained MAP equalization of dispersive MIMO channels.
Signal Processing 88(4): 1017-1034 (2008) |
2007 |
10 | EE | Joaquín Míguez:
Analysis of parallelizable resampling algorithms for particle filtering.
Signal Processing 87(12): 3155-3174 (2007) |
2005 |
9 | EE | Joaquín Míguez,
Mónica F. Bugallo:
On the estimation of random unobserved signals by maximization of target likelihoods and its application to blind timing and phase recovery.
Digital Signal Processing 15(2): 171-190 (2005) |
8 | EE | Tadesse Ghirmai,
Mónica F. Bugallo,
Joaquín Míguez,
Petar M. Djuric:
A sequential Monte Carlo method for adaptive blind timing estimation and data detection.
IEEE Transactions on Signal Processing 53(8-1): 2855-2865 (2005) |
2004 |
7 | EE | Joaquín Míguez,
Tadesse Ghirmai,
Mónica F. Bugallo,
Petar M. Djuric:
A sequential Monte Carlo technique for blind synchronization and detection in frequency-flat Rayleigh fading wireless channels.
Signal Processing 84(11): 2081-2096 (2004) |
2003 |
6 | EE | Mónica F. Bugallo,
Joaquín Míguez,
Luis Castedo:
Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach.
Signal Processing 83(10): 2179-2193 (2003) |
5 | EE | Joaquín Míguez,
Luis Castedo:
Space-time channel estimation and soft detection in time-varying multiaccess channels.
Signal Processing 83(2): 389-411 (2003) |
2002 |
4 | EE | Joaquín Míguez,
Petar M. Djuric:
Blind equalization by sequential importance sampling.
ISCAS (1) 2002: 845-848 |
3 | EE | Joaquín Míguez,
Luis Castedo:
Semiblind space-time decoding in wireless communications: a maximum likelihood approach.
Signal Processing 82(1): 1-18 (2002) |
2 | EE | Joaquín Míguez,
Luis Castedo:
Maximum Likelihood Unsupervised Source Separation in Gaussian Noise.
VLSI Signal Processing 31(1): 7-18 (2002) |
2001 |
1 | EE | Mónica F. Bugallo,
Joaquín Míguez,
Luis Castedo:
Semiblind linear multiuser interference cancellation: a maximum likelihood approach.
Signal Processing 81(10): 2041-2057 (2001) |