braindecode.preprocessing.exponential_moving_demean

braindecode.preprocessing.exponential_moving_demean(data, factor_new=0.001, init_block_size=None)

Perform exponential moving demeanining.

Compute the exponental moving mean $m_t$ at time t as $m_t=\mathrm{factornew}\cdot mean(x_t)+(1-\mathrm{factornew})\cdot m_{t-1}$.

Deman the data point $x_t$ at time t as: $x_t^{\prime }=(x_t-m_t)$.

Parameters

data: np.ndarray (n_channels, n_times)

factor_new: float

init_block_size: int

Demean data before to this index with regular demeaning.

Returns

demeaned: np.ndarray (n_channels, n_times)

Demeaned data.