Optimal deconvolution filter design based on orthogonal principal
Signal Processing
Outline for a Logical Theory of Adaptive Systems
Journal of the ACM (JACM)
Fixed-order H2 and H∞ optimal deconvolution filter designs
Signal Processing
Signal Processing - Special section on digital signal processing for multimedia communications and services
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
Information Sciences: an International Journal
Introduction to Genetic Algorithms
Introduction to Genetic Algorithms
Blind image deconvolution via dispersion minimization
Digital Signal Processing
System parameter estimation with input/output noisy data andmissing measurements
IEEE Transactions on Signal Processing
IEEE Transactions on Evolutionary Computation
Simulated annealing for maximum a posteriori parameter estimation of hidden Markov models
IEEE Transactions on Information Theory
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We introduce a new combination approach to a fixed-order mixed H2/H∞ deconvolution filter with missing observations. The missing observations model is based on a probabilistic structure with the probability of the occurrence of missing data modeled as the unknown prior. The aim of the mixed H2/H∞ criterion is to achieve H2 optimal reconstruction and subject the H∞ norm constraint to the transfer function from the channel input to the filter error. For simplicity of implementation, the fixed-order model is interesting for engineers in signal processing and in practical applications. In this situation, the deconvolution filter design becomes a complicated nonlinear estimation problem. In this paper, we combine a genetic algorithm (GA) and simulated annealing (SA) to treat the signal reconstruction problem with missing observations. Finally, a numerical example is presented to illustrate the design procedure and confirm the robustness performance of the proposed method.