Result 1 to 20 of 59 total
Derivation of centralized and distributed filters using covariance information. (English)
Comput. Stat. Data Anal. 55, No. 1, 312-323 (2011).
1
Quadratic filtering algorithm based on covariances using correlated uncertain observations coming from different sensors. (English)
ISRN Appl. Math. 2011, Article ID 148461, 18 p., electronic only (2011).
2
Estimation for discrete-time systems with multiple packet dropouts using covariance information. (English)
Math. Comput. Modelling 54, No. 9-10, 2277-2286 (2011).
3
Least-squares linear estimation of signals from observations with Markovian delays. (English)
J. Comput. Appl. Math. 236, No. 2, 234-242 (2011).
4
Nonlinear estimation applying an unscented transformation in systems with correlated uncertain observations. (English)
Appl. Math. Comput. 217, No. 20, 7998-8009 (2011).
5
Linear and quadratic estimation using uncertain observations from multiple sensors with correlated uncertainty. (English)
Signal Process. 91, No. 2, 330-337 (2011).
6
Derivation of centralized and distributed filters using covariance information (English)
Computational Statistics & Data Analysis 55, No. 1, 312-323 (2011).
7
Estimation for discrete-time systems with multiple packet dropouts using covariance information (English)
Mathematical and Computer Modelling 54, No. 9-10, 2277-2286 (2011).
8
Least-squares linear estimation of signals from observations with Markovian delays (English)
J. Computational Applied Mathematics 236, No. 2, 234-242 (2011).
9
RLS Wiener predictor with uncertain observations in linear discrete-time stochastic systems (English)
J. Signal and Information Processing 2, No. 3, 152-158 (2011).
10
Nonlinear estimation applying an unscented transformation in systems with correlated uncertain observations (English)
Applied Mathematics and Computation 217, No. 20, 7998-8009 (2011).
11
Signal estimation with multiple delayed sensors using covariance information (English)
Digital Signal Processing 20, No. 2, 528-540 (2010).
12
Derivation of linear estimation algorithms from measurements affected by multiplicative and additive noises (English)
J. Computational Applied Mathematics 234, No. 3, 794-804 (2010).
13
Design of RLS Wiener estimators from randomly delayed observations in linear discrete-time stochastic systems (English)
Applied Mathematics and Computation 217, No. 8, 3801-3815 (2010).
14
Recursive estimation of discrete-time signals from nonlinear randomly delayed observations. (English)
Comput. Math. Appl. 58, No. 6, 1160-1168 (2009).
15
Least-squares linear filtering using observations coming from multiple sensors with one- or two-step random delay. (English)
Signal Process. 89, No. 10, 2045-2052 (2009).
16
Recursive estimation of discrete-time signals from nonlinear randomly delayed observations (English)
Computers & Mathematics with Applications 58, No. 6, 1160-1168 (2009).
17
Design of RLS Wiener fixed-lag smoother using covariance information in linear discrete stochastic systems. (English)
Appl. Math. Modelling 32, No. 7, 1338-1349 (2008).
18
Signal estimation based on covariance information from observations featuring correlated uncertainty and coming from multiple sensors. (English)
Signal Process. 88, No. 12, 2998-3006 (2008).
19
Filtering of images corrupted by multiplicative and white plus coloured additive noises using covariance information. (English)
Math. Comput. Modelling 47, No. 3-4, 298-311 (2008).
20
Result 1 to 20 of 59 total
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