gapnet.data_creation.stimulus.noise

module documentation

(source)

Undocumented

Class	`WhiteNoiseFunction`	Undocumented
Function	`broadband_noise`	No summary
Function	`broadband_noise_n`	Undocumented
Function	`normal_distributed_white_noise_generator`	Undocumented
Function	`uniform_white_noise_generator`	Undocumented
Function	`white_noise`	Generate white noise of the length of the time vector
Function	`white_noise_n`	Undocumented

def broadband_noise(t, amp=0.1, freq_range=None, dtype=float): (source) ¶

Parameters
t:`np.ndarray`	time vector
amp:`float`	amplitude
freq_range:`Annotated[List[float], ExactLen(2)]`	desired frequency range
dtype:`type`	desired datatype
Returns
`np.ndarray`	noise signal

def broadband_noise_n(fs=1000000.0, amp=0.1, duration=1.0, freq_range=None, dtype=float): (source) ¶

Undocumented

def normal_distributed_white_noise_generator(n): (source) ¶

Undocumented

def uniform_white_noise_generator(n): (source) ¶

Undocumented

Generate white noise of the length of the time vector

Example:

    >>> from data_creation.time.time import generate_time_vector
    >>> t = generate_time_vector(0.0, 1.0, 1000)
    >>> x = white_noise(t, 0.5)

Parameters
t:`np.ndarray`	time vector
amp:`float`	amplitude
generator:`WhiteNoiseFunction`	generator function (most fulfill the `WhiteNoiseFunction`.protocol)
dtype:`type`	datatype
Returns
`np.ndarray`	noise signal

Undocumented

Parameters
n:`int`	Undocumented
generator:`WhiteNoiseFunction`	Undocumented
dtype:`type`	Undocumented
Returns
`np.ndarray`	Undocumented