class_docstr: Generate continuous wavelet transform of a signal
class_docstr_tok: ["Generate","continuous","wavelet","transform","of","a","signal"]
docstr: Args:
      type: mother wavelet type.
          Available options are: {``"mexh"``, ``"morl"``, ``"cmorB-C"``, , ``"gausP"``}
      see : https://pywavelets.readthedocs.io/en/latest/ref/cwt.html
      length: expected length, default ``125.0``
      frequency: signal frequency, default ``500.0``
docstr_tok: ["Args",":","type",":","mother","wavelet","type",".","Available","options","are",":","{","``","``","mexh","''","``",",","``","``","morl","''","``",",","``","``","cmorB-C","''","``",",",",","``","``","gausP","''","``","}","see",":","https",":","\/\/pywavelets.readthedocs.io\/en\/latest\/ref\/cwt.html","length",":","expected","length",",","default","``","125.0","``","frequency",":","signal","frequency",",","default","``","500.0","``"]
code: def __init__(
      self,
      type: str = "mexh",
      length: float = 125.0,
      frequency: float = 500.0,
  ) -> None:
      """
      Args:
          type: mother wavelet type.
              Available options are: {``"mexh"``, ``"morl"``, ``"cmorB-C"``, , ``"gausP"``}
          see : https://pywavelets.readthedocs.io/en/latest/ref/cwt.html
          length: expected length, default ``125.0``
          frequency: signal frequency, default ``500.0``
      """
      super().__init__()
      self.frequency = frequency
      self.length = length
      self.type = type
  
imports: from __future__ import annotations
  import warnings
  from collections.abc import Sequence
  from typing import Any
  import numpy
  import torch
  from monai.config.type_definitions import NdarrayOrTensor
  from monai.transforms.transform import RandomizableTransform, Transform
  from monai.transforms.utils import check_boundaries, paste, squarepulse
  from monai.utils import optional_import
  from monai.utils.enums import TransformBackends
  from monai.utils.type_conversion import convert_data_type, convert_to_tensor
label_desc: Use image node_id 1 to create a new SignalContinuousWavelet object from inherited base classes: Transform with example: obj = SignalContinuousWavelet(type, length, frequency)