class_docstr: Remove a frequency from a signal
class_docstr_tok: ["Remove","a","frequency","from","a","signal"]
docstr: Args:
      frequency: frequency to be removed from the signal
      quality_factor: quality factor for notch filter
          see : https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.iirnotch.html
      sampling_freq: sampling frequency of the input signal
docstr_tok: ["Args",":","frequency",":","frequency","to","be","removed","from","the","signal","quality_factor",":","quality","factor","for","notch","filter","see",":","https",":","\/\/docs.scipy.org\/doc\/scipy\/reference\/generated\/scipy.signal.iirnotch.html","sampling_freq",":","sampling","frequency","of","the","input","signal"]
code: def __init__(
      self,
      frequency: float | None = None,
      quality_factor: float | None = None,
      sampling_freq: float | None = None,
  ) -> None:
      """
      Args:
          frequency: frequency to be removed from the signal
          quality_factor: quality factor for notch filter
              see : https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.iirnotch.html
          sampling_freq: sampling frequency of the input signal
      """
      super().__init__()
      self.frequency = frequency
      self.quality_factor = quality_factor
      self.sampling_freq = sampling_freq
  
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 SignalRemoveFrequency object from inherited base classes: Transform with example: obj = SignalRemoveFrequency(frequency, quality_factor, sampling_freq)