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4.5.2 Synchro‐Squeezed Wavelet Transform

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The synchro‐squeezing wavelet transform (SSWT) has been introduced as a post‐processing technique to enhance the TF spectrum obtained by applying the WT [23]. Assuming that the input f(t) is a pure harmonic signal (f(t) = Acos(ωt)), using Plancherel's theorem, the following equations are derived from (4.20) [23]:


(4.59)

One assumption in the above equation (Eq. 4.59) is that the selected mother wavelet is concentrated within the positive energy range, which means , for ε < 0. If is concentrated around ε = ω 0, then, W(a, b) is concentrated around a = ω 0/ω. This is spread out over a region of the horizontal line (e.g. a = ω 0/ω). In the situation where ω is almost but not exactly similar to the actual instantaneous frequency (IF) of the input signal, then, W(a, b) has non‐zero energy. By synchro‐squeezing, the idea is to move this energy away from ω. The proposed method in the SSWT aims to reassign the frequency locations which are closer to the actual IF to obtain an enhanced spectrum. To do that, first, the candidate IFs are calculated. For these IFs, W(a, b) ≠ 0:

(4.60)

Considering the selected pure harmonic signal f(t) = Acos(ωt), it is simple to observe that ω(a, b) = ω. The candidate IFs are exploited to recover the actual frequencies. Therefore, a reallocation technique has been used to map the time domain into TF domain using (b, a) ⇒ (b, ω(a, b)). Based on this, each value of W(a, b) (computed at discrete values of ak ) is re‐allocated into Tf (ωl , b) as provided in the following equation (Eq. 4.61):

(4.61)

where ωl is the nearest frequency to the original point ω(a, b), ∆ω is the width of the frequency bins ,∆ω = ωl ωl − 1, and (∆a) k = ak ak − 1. Tf (ωl , b) represents the synchro‐squeezed transform at the centres ωl of consecutive frequency bins. For each fixed time point b, the reassigned frequencies should be estimated for all scales using Eq. (4.103). For each desired IF of ωl , Tf (ωl , b) is calculated using summation of all W(ak , b) considering that the distance between the reassigned frequency ω(ak , b) and ωl must be within the specified frequency bin width (∆ω). It has been shown that the original signal can be reconstructed after the synchro‐squeezing process [23].

EEG Signal Processing and Machine Learning

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