Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Fourier demixing filter based on statistical independence between signals

Fourier demixing filter based on statistical independence between signals

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

A new filter based on the statistical independence between signals is presented. The original signal is estimated by the weighted sum of each harmonic of the observation corrupted by noise. The filter is synthesised by adjusting the weighting parameters by learning with the use of higher order moments of observation noise without any information about the dynamics of a target system.

Inspec keywords: interference (signal); Fourier analysis; filtering theory; estimation theory; harmonics

Other keywords: statistical signal independence; signal estimation; noise; Fourier demixing filter; harmonics; higher order moments; weighted sum

Subjects: Information theory; Other topics in statistics; Other topics in statistics; Signal processing and detection

References

    1. 1)
      • E. Uchino , M. Ohta . State estimation method based on digital filter for energy stochasticsystem with decibel observation mechanism. Trans. IEICE , 11 , 3546 - 3553
    2. 2)
      • (1993) Digital signal processing handbook.
    3. 3)
      • M. Ohta , E. Uchino . A design for a general digital filter for state estimation of an arbitrarystochastic sound system. J. Acoust. Soc. Am. , 3 , 804 - 812
    4. 4)
      • R.E. Kalman . New results in linear filtering and prediction theory. Trans. ASME(D), J. Basic Eng. , 95 - 108
    5. 5)
      • N. Wiener . (1949) Extrapolation, interpolation and smoothing of stationary time series.
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19981246
Loading

Related content

content/journals/10.1049/el_19981246
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address