SIGNAL PROCESSING FOR NOISE CANCELLATION IN ACTUAL ELECTROMAGNETIC ENVIRONMENT | Zendy

Hisako Orimoto | Zendy; Akira Ikuta | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

SIGNAL PROCESSING FOR NOISE CANCELLATION IN ACTUAL ELECTROMAGNETIC ENVIRONMENT

Author(s) -

Hisako Orimoto,

Akira Ikuta

Publication year - 2009

Publication title -

electromagnetic waves

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.437

H-Index - 89

eISSN - 1559-8985

pISSN - 1070-4698

DOI - 10.2528/pier09100907

Subject(s) - noise (video) , acoustics , signal processing , computer science , active noise control , signal (programming language) , electromagnetic noise , electromagnetic environment , speech recognition , telecommunications , physics , noise reduction , artificial intelligence , radar , image (mathematics) , programming language

The observed phenomena in actual electromagnetic environment are inevitably contaminated by the background noise of arbitrary distribution type. Therefore, in order to evaluate the electromagnetic environment, it is necessary to establish some signal processing methods to remove the undesirable efiects of the background noise. In this paper, we propose a noise cancellation method for estimating a speciflc signal with the existence of background noise of non-Gaussian distribution. By applying the well-known least mean squared method for the moment statistics with several orders, a practical method for estimating the speciflc signal is derived. The efiectiveness of the proposed theoretical method is experimentally conflrmed by applying it to an estimation problem in actual magnetic fleld environment.

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