Recursive Linear Estimation for Discrete-Time Systems in the Presence of Different Multiplicative Observation Noises | Zendy

Cristina SánchezGonzález | Zendy; Teresa GarcíaMuñoz | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Recursive Linear Estimation for Discrete-Time Systems in the Presence of Different Multiplicative Observation Noises

Author(s) -

Cristina SánchezGonzález,

Teresa GarcíaMuñoz

Publication year - 2010

Publication title -

discrete dynamics in nature and society

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.264

H-Index - 39

eISSN - 1607-887X

pISSN - 1026-0226

DOI - 10.1155/2010/875023

Subject(s) - estimator , multiplicative function , multiplicative noise , discrete time and continuous time , noise (video) , mean squared error , estimation , mathematics , computer science , state estimator , mean square , state (computer science) , algorithm , statistics , mathematical analysis , artificial intelligence , signal transfer function , digital signal processing , analog signal , image (mathematics) , computer hardware , management , economics

This paper describes a design for a least mean square error estimator in discrete time systems where the components of the state vector, in measurement equation, are corrupted by different multiplicative noises in addition to observation noise. We show how known results can be considered a particular case of the algorithm stated in this paper

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research