Modified frequency domain kurtosis for signal processing

Access Full Text

Modified frequency domain kurtosis for signal processing

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

An operator sensitive to signal probability distribution is obtained, by integrating ideas from higher-order statistics and a frequency approach to signal processing. This function, based on a modified frequency domain kurtosis, assigns a level of stationarity to each signal spectrum component and enhances unsteady components over stationary sinusoids embedded in noise.

Inspec keywords: discrete time systems; filtering and prediction theory; signal processing; probability; spectral analysis; frequency-domain analysis

Other keywords: discrete time model; signal probability distribution; signal spectrum component; stationarity; modified frequency domain kurtosis; higher order spectral anlysis; FDK filtering; higher-order statistics; signal processing; unsteady component enhancement

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

References

    1. 1)
      • R.F. Dwyer . Asymptotic detection performance of discrete power and higher-order spectraestimates. IEEE J. Oceanic Eng. , 3 , 303 - 315
    2. 2)
      • A. Papoulis . (1965) Probability, random variables, and stochastic processes.
    3. 3)
      • C.L. Nikias , J.M. Mendel . Signal processing with higher-order spectra. IEEE Signal Processing Mag. , 10 - 37
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19940777
Loading

Related content

content/journals/10.1049/el_19940777
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading