6704c535b8c59ab3b9b98c0489a051654c1ee727,nisl/signals.py,,_standardize,#Any#Any#Any#,12

Before Change

    =======
    std_signals: copy of signals, normalized.
    
    signals = np.array(signals).astype(np.float)
    buf = signals.T
    buf -= signals.mean(axis=-1)

    if normalize:
        length = float(signals.shape[-1])
        std = np.sqrt(length) * signals.std(axis=-1).T
        std[std < np.finfo(np.float).eps] = 1
        buf /= std
    return signals

After Change

        if not detrend:
            signals -= signals.mean(axis=0)

        std = np.sqrt((signals ** 2).sum(axis=0))
        std[std < np.finfo(np.float).eps] = 1.  // avoid numerical problems
        signals /= std
    return signals

Instances