Parametric Modeling of Electromagnetic Waveforms
- 1 January 1984
- journal article
- research article
- Published by Taylor & Francis in Electromagnetics
- Vol. 4 (4) , 415-430
- https://doi.org/10.1080/02726348408908130
Abstract
The problem of modeling and approximating a waveform by a linear combination of basis functions containing a variable parameter is considered. It is shown that the Kalman equation error concept of linear system identification theory can, in a modified form, be applied to a large class of modeling problems, provided the chosen basis function is a solution of a linear.functional equation in Hilbert space. This class includes rational and Tauberian modeling problems, known to be of relevance for electromagnetic transient response and wide bandwidth radar return signature identification respectively.Keywords
This publication has 8 references indexed in Scilit:
- A discussion of various approaches to the linear system identification problemIEEE Transactions on Acoustics, Speech, and Signal Processing, 1984
- Waveform Feature Extraction Based on Tauberian ApproximationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1982
- Spectrum analysis—A modern perspectiveProceedings of the IEEE, 1981
- Suboptimal approximation/identification of transient waveforms from electromagnetic systems by pencil-of-function methodIEEE Transactions on Antennas and Propagation, 1980
- Parametric modeling of transient electromagnetic systemsRadio Science, 1979
- Linear prediction: A tutorial reviewProceedings of the IEEE, 1975
- Considerations of the Padé approximant technique in the synthesis of recursive digital filtersIEEE Transactions on Audio and Electroacoustics, 1973
- Best least-squares representation of signals by exponentialsIEEE Transactions on Automatic Control, 1968