Name
Abstract | ||
|---|---|---|
The EKT method is a new extraction technique of periodic signals from noise. It is simply a cross-correlation of a periodic message with a reference signal obtained by summation of harmonics of the same amplitude. The only paper [J.S.A. Eyebe Fouda, M. Kom, A. Tiedeu, The EKT method for extraction of periodic signals from noise, Digital Signal Process. 16 (4) (2006) 343-357] published up to now on this method numerically shows that, for examples chosen on simulation, its signal-to-noise ratio (SNR) remains higher than that of the traditional method. However, practical calculation of SNR on some examples does not allow a user having other signals to know which is the best of the multitude methods for an extraction. Only the comparison of SNR literal expressions of the various methods can avoid it proceeding by groping. To this end, we will determine in this text, an expression for theoretical EKT method SNR gain. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.dsp.2006.10.003 | Digital Signal Processing |
Keywords | Field | DocType |
traditional method,multitude method,periodic signal,extraction,snr literal expression,snr gain,theoretical ekt method snr,theoretical signal-to-noise ratio expression,ekt method,digital signal process,new extraction technique,various method,periodic message,cross correlation,signal to noise ratio,digital signal processing | Expression (mathematics),Pattern recognition,Digital signal,Computer science,Signal-to-noise ratio,Algorithm,Speech recognition,Harmonics,Artificial intelligence,Amplitude,Periodic graph (geometry) | Journal |
Volume | Issue | ISSN |
17 | 4 | Digital Signal Processing |
Citations | PageRank | References |
1 | 0.43 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J.S. Armand Eyebe Fouda | 1 | 55 | 6.21 |
| Martin Kom | 2 | 46 | 4.66 |
| Samuel Domngang | 3 | 2 | 0.83 |