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An example: simulated signal with noise

In Figure 1a a simple signal is constructed from continuous sine wave ($A$), one-point discontinuity (Dirac's delta, $B$) and three Gabor functions ($C$, $D$ and $E$) of the same time positions ($C$ and $D$) or the same frequencies ($D$ and $E$). Figure 1b gives time-frequency energy distribution obtained for this signal from MP decomposition by means of eq. (12). In the left, 3-dimensional plot, energy is proportional to the height. Right 2-dimensional plot presents energy in shades of gray. Perfect representation of all the signal structures is due to the fact that the signal was constructed as a sum of dictionary's elements only.

Figure 1: (a): left--components of the simulated signal: sine A, Dirac's delta B and Gabor functions C, D and E. Right--signals, labelled b, c and d, constructed as sum of structures A-E and white noise, and decomposed in corresponding panels (b), (c) and (d). (b): time-frequency energy distribution (eq. 12) obtained for sum of structures A-E; in 3-D representation on the left energy is proportional to the height, in right panel--to the shades of gray. Panels (c) and (d): decompositions of signals with linear addition of noise, S/N = 1/2 ($-3$ dB) in (c) and $-6$ dB in (d), the same realization of white noise was used in both cases. Exact parameters of presented time-frequency structures are given in Table 1.
\includegraphics[width=\columnwidth]{figures/fig01.eps}

In Figure 1c and 1d a white noise of energy twice and four times the signal's energy is added. In both cases the same realization of white noise was used (with different weights). Table 1 presents parameters of simulated time-frequency structures $A$-$E$ compared to parameters of corresponding time-frequency atoms fitted by MP to the mentioned signals, with S/N ratio from $\infty$ (simulated signal $b$ without noise) through 1/2 ($-3$ dB, signal c) to 1/4 ($-6$ dB, signal d).


Table 1: Parameters of structures A-E (Figure 1)--original values in simulated signal and parameters recovered by MP decomposition for signals with different S/N ratios. Time position of sine wave ($^1$) and frequency of Dirac's delta ($^2$) are set by convention as half of the time and frequency ranges, respectively
parameters amplitude scale position frequency
structure A (sine)
original 1.00 512 -- 0.5000
S/N=$\infty$ 0.62 512 256$^1$ 0.5031
  0.98 256 506 0.5031
  0.9 256 14 0.5031
S/N=1/2 1.40 256 506 0.5031
  1.23 256 43 0.5031
S/N=1/4 1.41 256 506 0.5031
  1.16 256 43 0.5031
structure B (Dirac)
original 10.00 0 64 --
S/N=$\infty$ 10.37 0 64 1.57$^2$
S/N=1/2 8.03 0 64 1.57$^2$
S/N=1/4 - - - -
structure C (Gabor)
original 3.00 64 128 2.40
S/N=$\infty$ 2.96 64 132 2.39
S/N=1/2 2.98 64 118 2.39
S/N=1/4 3.10 64 111 2.39
structure D (Gabor)
original 3.00 64 128 1.20
S/N=$\infty$ 2.96 64 124 1.19
S/N=1/2 2.75 64 132 1.19
S/N=1/4 1.72 256 234 1.18
structure E (Gabor)
original 3.00 128 320 1.20
S/N=$\infty$ 2.97 128 326 1.20
S/N=1/2 2.35 128 294 1.19
S/N=1/4 1.12 256 361 1.13
parameters amplitude scale position frequency


We can observe some characteristic properties of decomposition:

The above example demonstrates robustnes of the method in presence of linearly added white noise--in this case most of the basic time-frequency characteristics were represented even in S/N=1/4 ($-6$ dB).


next up previous
Next: Sleep spindles detection and Up: The method Previous: Time-frequency energy distribution
Piotr J. Durka 2001-06-11