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Optimal Time-Frequency analysis of the multiple time-translated locally stationary processes

Brynolfsson, Johan LU and Sandsten, Maria LU (2013) 21st European Signal Processing Conference (EUSIPCO 2013) In [Host publication title missing]
Abstract
A previously proposed model for non-stationary signals is

extended in this contribution. The model consists of mul-

tiple time-translated locally stationary processes. The opti-

mal Ambiguity kernel for the process in mean-square-error

sense is computed analytically and is used to estimate the

time-frequency distribution. The performance of the kernel

is compared with other commonly used kernels. Finally the

model is applied to electrical signals from the brain (EEG)

measured during a concentration task.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Time frequency analysis, Locally stationary process, Optimal Ambiguity kernel, EEG.
in
[Host publication title missing]
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
21st European Signal Processing Conference (EUSIPCO 2013)
external identifiers
  • wos:000341754500163
language
English
LU publication?
yes
id
8951198c-2a38-473b-bf88-ee81d6390523 (old id 4175274)
date added to LUP
2014-01-20 17:35:30
date last changed
2017-03-13 13:14:45
@inproceedings{8951198c-2a38-473b-bf88-ee81d6390523,
  abstract     = {A previously proposed model for non-stationary signals is<br/><br>
extended in this contribution. The model consists of mul-<br/><br>
tiple time-translated locally stationary processes. The opti-<br/><br>
mal Ambiguity kernel for the process in mean-square-error<br/><br>
sense is computed analytically and is used to estimate the<br/><br>
time-frequency distribution. The performance of the kernel<br/><br>
is compared with other commonly used kernels. Finally the<br/><br>
model is applied to electrical signals from the brain (EEG)<br/><br>
measured during a concentration task.},
  author       = {Brynolfsson, Johan and Sandsten, Maria},
  booktitle    = {[Host publication title missing]},
  keyword      = {Time frequency analysis,Locally stationary process,Optimal Ambiguity kernel,EEG.},
  language     = {eng},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Optimal Time-Frequency analysis of the multiple time-translated locally stationary processes},
  year         = {2013},
}