Читать книгу EEG Signal Processing and Machine Learning - Saeid Sanei - Страница 72
4.5.1.5 Wavelet Transform Using Fourier Transform
ОглавлениеConsider the scalar products c 0(k) = 〈f(t). φ(t − k)〉 for continuous wavelets. If φ(t) is band limited to half of the sampling frequency, the data are correctly sampled. The data at the resolution j = 1 are:
(4.43)
and we can compute the set c 1(k) from c 0(k) with a discrete‐time filter with frequency response :
(4.44)
and for and
(4.45)
Therefore, an estimate of the coefficients is:
(4.46)
The cut‐off frequency is reduced by a factor 2 at each step, allowing a reduction of the number of samples by this factor. The wavelet coefficients at the scale j + 1 are:
(4.47)
and they can be computed directly from Cj by:
(4.48)
where G is the following discrete‐time filter:
(4.49)
and for and :
(4.50)
The frequency band is also reduced by a factor of two at each step. These relationships are also valid for DWT following Section 4.5.1.4.