Random and pseudorandom inputs for Volterra filter identification
- 1 January 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Signal Processing
- Vol. 42 (8) , 2124-2135
- https://doi.org/10.1109/78.301847
Abstract
No abstract availableThis publication has 25 references indexed in Scilit:
- The tensor product: a mathematical programming language for FFTs and other fast DSP operationsIEEE Signal Processing Magazine, 1992
- Orthogonal approaches to time-series analysis and system identificationIEEE Signal Processing Magazine, 1991
- Persistent excitation in bilinear systemsIEEE Transactions on Automatic Control, 1991
- A new channel estimator for fast start-up equalizationIEEE Transactions on Communications, 1991
- Lower bounds for the condition number of Vandermonde matricesNumerische Mathematik, 1987
- Artifacts in Wiener Kernels Estimated Using Gaussian White NoiseIEEE Transactions on Biomedical Engineering, 1984
- Instrumental-variable methods for identification of Hammerstein systemsInternational Journal of Control, 1982
- Nonlinear systems analysis with non-Gaussian white stimuli; General basis functionals and kernels (Corresp.)IEEE Transactions on Information Theory, 1979
- Optimal input signals for nonlinear-system identificationProceedings of the Institution of Electrical Engineers, 1971
- Measurement of the Wiener Kernels of a Non-linear System by Cross-correlation†International Journal of Control, 1965