df2

class diffsptk.SecondOrderDigitalFilter(sample_rate: int, pole_frequency: float | None = None, pole_bandwidth: float | None = None, zero_frequency: float | None = None, zero_bandwidth: float | None = None, ir_length: int | None = None, device: device | None = None, dtype: dtype | None = None)

See this page for details.

Parameters:

sample_rateint >= 1

The sample rate in Hz.

pole_frequencyfloat > 0 or None

The pole frequency in Hz.

pole_bandwidthfloat > 0 or None

The pole bandwidth in Hz.

zero_frequencyfloat > 0 or None

The zero frequency in Hz.

zero_bandwidthfloat > 0 or None

The zero bandwidth in Hz.

ir_lengthint >= 1 or None

The length of the truncated impulse response. If given, the filter is approximated by an FIR filter.

devicetorch.device or None

The device of this module.

dtypetorch.dtype or None

The data type of this module.

forward(x: Tensor) → Tensor

Apply a second order digital filter to the input waveform.

Parameters:

xTensor [shape=(…, T)]

The input waveform.

Returns:

outTensor [shape=(…, T)]

The filtered waveform.

Examples

>>> import diffsptk
>>> df2 = diffsptk.SecondOrderDigitalFilter(16000, 1000, 200)
>>> x = diffsptk.impulse(4)
>>> y = df2(x)
>>> y
tensor([1.0000, 1.7766, 2.2319, 2.3227, 2.0633])

See also

dfs