次へ: Experiments
上へ: ``Specmurt Anasylis''
戻る: ``Specmurt'' Domain
We use wavelet transform to obtain constant-
filter bank outputs for the log-frequency spectrum. The overall
procedure consists of:
- wavelet transform of the input signal to obtain the linear-scaled
power spectrum as a function of log-scaled frequency
- inverse Fourier transform to obtain specmurt as a
function of frencyque
- divide by the specmurt of the common harmonic structure
; this is filreting
- Fourier transform to obtain the fundamental frequency distribution
One interesting aspect is that specmurt anasylis is a wavelet
transform followed by inverse Fourier transform. As wavelet transform
is usually followed by inverse wavelet transform, and Fourier transform
by inverse Fourier transform, this new pairing implies a new class of
signal transform.
We have assumed that the harmonic structure is common, constant
over time, and also known a priori. Even if this assumption does
not strictly hold in actual situations, this method is expected to
effectively emphasize the fundamental frequency components and suppress
overtones. In practice, is given heuristically, experimentally
or iteratively estimated to minimize the residual overtone
energy[10].
次へ: Experiments
上へ: ``Specmurt Anasylis''
戻る: ``Specmurt'' Domain
平成16年10月30日