Description Usage Arguments Value References See Also Examples
Given g and h are the impulse responses for the scaling and wavelet filters, respectively, and G(1,1f) and H(1,f) are their corresponding gain functions, then the gain functions for decomposition level j > 1 are calculated using the recursive algorithm:
H(j,f)=H(1, 2^(j-1)*f) * G(j-1, f), G(j,f)=G(1, 2^(j-1)*f) * G(j-1,f).
1 |
n.fft |
the number of Fourier coefficients to use in approximating the
gain functions. Default: |
n.levels |
the number of decomposition levels. Default: |
normalize |
a boolean value. If |
wavelet |
a character string denoting the filter type.
See |
an object of class wavGain
.
D. B. Percival and A. T. Walden, Wavelet Methods for Time Series Analysis, Cambridge University Press, 2000.
I. Daubechies, Orthonormal Bases of Compactly Supported Wavelets, Communications on Pure and, Applied Mathematics, 41, 909–96.
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