mne.decoding.
TemporalFilter
(l_freq=None, h_freq=None, sfreq=1.0, filter_length=’auto’, l_trans_bandwidth=’auto’, h_trans_bandwidth=’auto’, n_jobs=1, method=’fir’, iir_params=None, fir_window=’hamming’, verbose=None)[source]¶Estimator to filter data array along the last dimension.
Applies a zerophase lowpass, highpass, bandpass, or bandstop filter to the channels.
l_freq and h_freq are the frequencies below which and above which, respectively, to filter out of the data. Thus the uses are:
 l_freq < h_freq: bandpass filter
 l_freq > h_freq: bandstop filter
 l_freq is not None, h_freq is None: lowpass filter
 l_freq is None, h_freq is not None: highpass filter
Parameters:  l_freq : float  None
h_freq : float  None
sfreq : float, defaults to 1.0
filter_length : str  int, defaults to ‘auto’
l_trans_bandwidth : float  str
h_trans_bandwidth : float  str
n_jobs : int  str, defaults to 1
method : str, defaults to ‘fir’
iir_params : dict  None, defaults to None
fir_window : str, defaults to ‘hamming’
verbose : bool, str, int, or None, defaults to None


See also
Methods
__hash__ () <==> hash(x) 

fit (X[, y]) 
Do nothing (for scikitlearn compatibility purposes). 
fit_transform (X[, y]) 
Fit to data, then transform it. 
transform (X) 
Filter data along the last dimension. 
__hash__
() <==> hash(x)¶fit
(X, y=None)[source]¶Do nothing (for scikitlearn compatibility purposes).
Parameters:  X : array, shape (n_epochs, n_channels, n_times) or or shape (n_channels, n_times) # noqa
y : None


Returns:  self : instance of Filterer

fit_transform
(X, y=None, **fit_params)[source]¶Fit to data, then transform it.
Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.
Parameters:  X : numpy array of shape [n_samples, n_features]
y : numpy array of shape [n_samples]


Returns:  X_new : numpy array of shape [n_samples, n_features_new]

transform
(X)[source]¶Filter data along the last dimension.
Parameters:  X : array, shape (n_epochs, n_channels, n_times) or shape (n_channels, n_times) # noqa


Returns:  X : array, shape is same as used in input.
