- Title
- Identification of sparse FIR systems using a general quantisation scheme
- Creator
- Godoy, Boris I.; Agüero, Juan C.; Caravajal, Rodrigo; Goodwin, Graham C.; Yuz, Juan I.
- Relation
- International Journal of Control Vol. 87, Issue 4, p. 874-886
- Publisher Link
- http://dx.doi.org/10.1080/00207179.2013.861611
- Publisher
- Taylor & Francis
- Resource Type
- journal article
- Date
- 2014
- Description
- This paper presents an identification scheme for sparse FIR systems with quantised data. We consider a general quantisation scheme, which includes the commonly deployed static quantiser as a special case. To tackle the sparsity issue, we utilise a Bayesian approach, where an ℓ₁ a priori distribution for the parameters is used as a mechanism to promote sparsity. The general framework used to solve the problem is maximum likelihood (ML). The ML problem is solved by using a generalised expectation maximisation algorithm.
- Subject
- system identification; quantised systems; maximum likelihood; sparsity
- Identifier
- http://hdl.handle.net/1959.13/1306905
- Identifier
- uon:21286
- Identifier
- ISSN:0020-7179
- Language
- eng
- Reviewed
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