COMPARISON BETWEEN TRANSFER-FUNCTION AND STATE-SPACE APPROACHES TO SIGNAL MODELING.
Date of Original Version
There exist algorithms for estimating either a transfer-function or a state-space description corresponding to a given noise-free impulse response. When the data consist of impulse response plus noise, the algorithms have to be modified in order to give good performance. In both the transfer-function and state-space approaches, the key modification involves the use singular value decomposition (SVD). However, there are fundamental differences in the way in which the SVD is used to improve performance in the noisy data case. The differences between the two approaches are studied, as well as the corresponding performance of each method.
Publication Title, e.g., Journal
Proceedings of the IEEE Conference on Decision and Control
Vaccaro, R. J., and A. C. Kot. "COMPARISON BETWEEN TRANSFER-FUNCTION AND STATE-SPACE APPROACHES TO SIGNAL MODELING.." Proceedings of the IEEE Conference on Decision and Control (1985): 1633-1634. https://digitalcommons.uri.edu/ele_facpubs/1204