transform_cpu.py 文件源码

def _linear_phase(self, n_shift):
        """
        Private: Select the center of FOV
        """
        om = self.st['om']
        M = self.st['M']
        final_shifts = tuple(
            numpy.array(n_shift) +
            numpy.array(
                self.Nd) /
            2)
        phase = numpy.exp(
            1.0j *
            numpy.sum(
                om *
                numpy.tile(
                    final_shifts,
                    (M,
                     1)),
                1))
        # add-up all the linear phasees in all axes,

        self.st['p'] = scipy.sparse.diags(phase, 0).dot(self.st['p0'])
        return 0  # shifted sparse matrix