Adaptive signal processing
Robust filtering and feedforward control based on probabilistic descriptions of model errors
Automatica (Journal of IFAC)
Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
ADSL, VDSL, and Multicarrier Modulation: Wiley Series in Telecommunications and Signal Processing
ADSL, VDSL, and Multicarrier Modulation: Wiley Series in Telecommunications and Signal Processing
Detection, Estimation, and Modulation Theory: Radar-Sonar Signal Processing and Gaussian Signals in Noise
Adaptive Filtering: Algorithms and Practical Implementation
Adaptive Filtering: Algorithms and Practical Implementation
Frequency domain analysis of tracking and noise performance ofadaptive algorithms
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Hi-index | 0.00 |
This paper formulates in a common framework some results from the fields of robust filtering, function approximation with orthogonal basis, and adaptive filtering, and applies them for the design of a general deconvolution processor for SISO systems. The processor is designed to be robust to small parametric uncertainties in the system model, with a partially adaptive orthogonal structure. A simple gradient type of adaptive algorithm is applied to update the coefficients that linearly combine the fixed robust basis functions used to represent the deconvolver. The advantages of the design are inherited from the mentioned fields: low sensitivity to parameter uncertainty in the system model, good numerical and structural behaviour, and the capability of tracking changes in the systems dynamics. The linear equalization of a simple ADSL channel model is presented as an example including comparisons between the optimal nominal, adaptive FIR, and the proposed design.