Adaptive signal processing
Adaptive filter theory
Adaptive MLSE receiver over rapidly fading channels
Signal Processing - Special issue on emerging techniques for communication terminals
Advanced Digital Signal Processing and Noise Reduction
Advanced Digital Signal Processing and Noise Reduction
Brief paper: On the lower smoothing bound in identification of time-varying systems
Automatica (Journal of IFAC)
Tracking analysis of a generalized adaptive notch filter
IEEE Transactions on Signal Processing
Two algorithms for adaptive retrieval of slowly time-varyingmultiple cisoids in noise
IEEE Transactions on Signal Processing
Multicomponent polynomial phase signal analysis using a trackingalgorithm
IEEE Transactions on Signal Processing
Statistically Efficient Smoothing Algorithm for Time-Varying Frequency Estimation
IEEE Transactions on Signal Processing - Part II
Comparative study of four adaptive frequency trackers
IEEE Transactions on Signal Processing
Generalized Adaptive Notch Smoothers for Real-Valued Signals and Systems
IEEE Transactions on Signal Processing
Derivation of a sawtooth iterated extended Kalman smoother via theAECM algorithm
IEEE Transactions on Signal Processing
| Hi-index | 35.68 |
The problem of identification of quasi-periodically varying dynamic systems is considered. This problem can be solved using generalized adaptive notch filtering (GANF) algorithms. It is shown that the accuracy of parameter estimates can be significantly increased if the results obtained from GANF are further processed using a cascade of appropriately designed filters. The resulting generalized adaptive notch smoothing (GANS) algorithm can be employed in many off-line or nearly real-time on-line applications, such as elimination of sinusoidal interference from a prerecorded signal or identification of a rapidly varying telecommunication channel.