An introduction to signal detection and estimation (2nd ed.)
An introduction to signal detection and estimation (2nd ed.)
Complexity and information
Adaptive Filters
UDUT Continuous-Discrete Unscented Kalman Filtering
IITA '08 Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application - Volume 02
Widely-linear recursive least-squares algorithm for adaptive beamforming
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
IEEE Transactions on Information Theory
Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models
Widely linear estimation algorithms for second-order stationary signals
IEEE Transactions on Signal Processing
Cubature kalman filtering for continuous-discrete systems: theory and simulations
IEEE Transactions on Signal Processing
ARMA Prediction of Widely Linear Systems by Using the Innovations Algorithm
IEEE Transactions on Signal Processing - Part II
Linear least-square estimation algorithms involving correlated signal and noise
IEEE Transactions on Signal Processing
Widely linear estimation with complex data
IEEE Transactions on Signal Processing
A solution to linear estimation problems using approximate Karhunen-Loeve expansions
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Detection and estimation of improper complex random signals
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety
IEEE Transactions on Signal Processing
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Suboptimal linear and nonlinear continuous-discrete filters for improper complex valued signals are given. The estimators are derived from a generalized improper Karhunen-Loeve expansion of the signal involved and take the form of recursive algorithms which can easily be implemented in practice. Two examples show that the technique is feasible.