DocumentCode
3363395
Title
Comparison of various time/frequency distributions (classical and signal-dependent) applied to synthetic uterine EMG signals
Author
Devedeux, Dominique ; Duchêne, Jacques
Author_Institution
Dept. of Biol. Eng., Compiegne Univ., France
fYear
1994
fDate
25-28 Oct 1994
Firstpage
572
Lastpage
575
Abstract
Synthetic signals simulating uterine EHG are created in order to compare and validate several time/frequency distributions (TFD): we tested autoregressive spectra, short time Fourier transform, smooth pseudo Wigner Ville, exponential and cone shaped kernel distributions, as well as a signal-dependent method. Specific criteria were especially designed in order to quantify either the overall quality of the TFDs or their capability of tracking efficiently the evolution of the main spectral peak. Both the autoregressive and the signal-dependent methods yielded good results. We then tested these two transformations in terms of robustness and selectivity
Keywords
Fourier transforms; Wigner distribution; autoregressive processes; electromyography; exponential distribution; medical signal processing; time-frequency analysis; tracking; autoregressive spectra; classical method; cone shaped kernel distributions; exponential kernel distributions; robustness; selectivity; short time Fourier transform; signal-dependent method; simulation; smooth pseudo Wigner Ville; synthetic uterine EMG signals; time/frequency distributions; tracking; Electric variables measurement; Electromyography; Filtering; Frequency; Kernel; Low pass filters; Position measurement; Shape measurement; Signal analysis; Signal design;
fLanguage
English
Publisher
ieee
Conference_Titel
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location
Philadelphia, PA
Print_ISBN
0-7803-2127-8
Type
conf
DOI
10.1109/TFSA.1994.467287
Filename
467287
Link To Document