transform.py 文件源码

def analysis(self, **kwargs):
        """ Decompose a real or complex signal using ISAP.

        Fill the instance 'analysis_data' and 'analysis_header' parameters.

        Parameters
        ----------
        kwargs: dict (optional)
            the parameters that will be passed to
            'pisap.extensions.mr_tansform'.
        """
        # Checks
        if self._data is None:
            raise ValueError("Please specify first the input data.")

        # Update ISAP parameters
        kwargs["type_of_multiresolution_transform"] = self.isap_transform_id
        kwargs["number_of_scales"] = self.nb_scale

        # Analysis
        if numpy.iscomplexobj(self._data):
            analysis_data_real, self.analysis_header = self._analysis(
                self._data.real, **kwargs)
            analysis_data_imag, _ = self._analysis(
                self._data.imag, **kwargs)
            if isinstance(analysis_data_real, numpy.ndarray):
                self._analysis_data = (
                    analysis_data_real + 1.j * analysis_data_imag)
            else:
                self._analysis_data = [
                    re + 1.j * ima
                    for re, ima in zip(analysis_data_real, analysis_data_imag)]
        else:
            self._analysis_data, self._analysis_header = self._analysis(
                self._data, **kwargs)