2316c97ac2be8ec37b74d80982b2ffc832b491ad,neurodsp/timefrequency.py,,amp_by_time,#Any#Any#Any#Any#Any#Any#,59

Before Change

    if hilbert_increase_N:
        // If desired, pad the signal to length next power of two.
        N = len(x_filt)
        N2 = 2**(int(math.log(len(x), 2)) + 1)
        amp = np.abs(sp.signal.hilbert(x_filt, N2))
    else:
        amp = np.abs(sp.signal.hilbert(x_filt))
    return amp

After Change

    // Filter signal
    x_filt = filter_fn(x, Fs, "bandpass", f_lo=f_range[0], f_hi=f_range[1], remove_edge_artifacts=False, **filter_kwargs)
    // Compute amplitude time series
    amp = np.abs(_hilbert_ignore_nan(x_filt, hilbert_increase_N=hilbert_increase_N))
    return amp


def freq_by_time(x, Fs, f_range):

Instances