_filtering.py 文件源码

python
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项目:brainpipe 作者: EtienneCmb 项目源码 文件源码
def _getTransform(sf, f, npts, method, wltWidth, *arg):
    """Return a fuction which contain a transformation
    - 'hilbert'
    - 'hilbert1'
    - 'hilbert2'
    - 'wavelet'
    """
    # Get the design of the filter :
    fDesign = _getFiltDesign(sf, f, npts, *arg)

    # Hilbert method
    if method == 'hilbert':
        def hilb(x):
            xH = np.zeros(x.shape)*1j
            xF = fDesign(x)
            for k in range(x.shape[1]):
                xH[:, k] = hilbert(xF[:, k])
            return xH
        return hilb

    # Hilbert method 1
    elif method == 'hilbert1':
        def hilb1(x): return hilbert(fDesign(x))
        return hilb1

    # Hilbert method 2
    elif method == 'hilbert2':
        def hilb2(x): return hilbert2(fDesign(x))
        return hilb2

    # Wavelet method
    elif method == 'wavelet':
        def wav(x): return morlet(x, sf, (f[0]+f[1])/2, wavelet_width=wltWidth)
        return wav

    # Filter the signal
    elif method == 'filter':
        def fm(x): return fDesign(x)
        return fm
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