Back to Search
Start Over
Iterative H-infinity-norm Estimation Using Cyclic-Prefixed Signals
- Publication Year :
- 2020
-
Abstract
- The problem of estimating the largest gain of an unknown linear and time-invariant filter is studied, known as the H-infinity -norm estimation problem. The approach presented in this paper is iterative and corresponds to the combination of two state-of-the-art methods: Power Iterations and Weighted Thompson Sampling. The combination is done by means of a well-known technique in communications known as a cyclic prefix, in which the last points of a signal are prepended to it. This allows to take considerably more exact measurements of the frequency response of the system at a set of equispaced frequencies. The discussion is complemented with a simulation study, showing that the proposed algorithm has an increased speed of convergence to the quantity of interest.<br />QC 20220121
Details
- Database :
- OAIster
- Notes :
- Mùˆller, Matias I., Rojas, Cristian R.
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1312824088
- Document Type :
- Electronic Resource