transform.py 文件源码

def coi(self):
        """The Cone of Influence is the region near the edges of the
        input signal in which edge effects may be important.

        Return a tuple (T, S) that describes the edge of the cone
        of influence as a single line in (time, scale).
        """
        Tmin = self.time.min()
        Tmax = self.time.max()
        Tmid = Tmin + (Tmax - Tmin) / 2
        s = np.logspace(np.log10(self.scales.min()),
                        np.log10(self.scales.max()),
                        100)
        c1 = Tmin + self.wavelet.coi(s)
        c2 = Tmax - self.wavelet.coi(s)

        C = np.hstack((c1[np.where(c1 < Tmid)], c2[np.where(c2 > Tmid)]))
        S = np.hstack((s[np.where(c1 < Tmid)], s[np.where(c2 > Tmid)]))

        # sort w.r.t time
        iC = C.argsort()
        sC = C[iC]
        sS = S[iC]

        return sC, sS