wyrm.processing

Processing toolbox methods.

This module contains the processing methods.

Functions

append(dat, dat2[, axis, extra])	Append dat2 to dat.
append_cnt(dat, dat2[, timeaxis, extra])	Append two continuous data objects.
append_epo(dat, dat2[, classaxis, extra])	Append two epoched data objects.
apply_csp(*args, **kwargs)	Apply the CSP filter.
apply_spatial_filter(dat, w[, prefix, ...])	Apply spatial filter to Data object.
calculate_cca(dat_x, dat_y[, timeaxis])	Calculate the Canonical Correlation Analysis (CCA).
calculate_classwise_average(dat[, classaxis])	Calculate the classwise average.
calculate_csp(epo[, classes])	Calculate the Common Spatial Pattern (CSP) for two classes.
calculate_signed_r_square(dat[, classaxis])	Calculate the signed r**2 values.
calculate_spoc(epo)	Compute source power co-modulation analysis (SPoC)
calculate_whitening_matrix(dat)	Calculate whitening matrix from continuous data.
clear_markers(dat[, timeaxis])	Remove markers that are outside of the dat time interval.
correct_for_baseline(dat, ival[, timeaxis])	Subtract the baseline.
create_feature_vectors(dat[, classaxis])	Create feature vectors from epoched data.
filtfilt(dat, b, a[, timeaxis])	A forward-backward filter.
jumping_means(dat, ivals[, timeaxis])	Calculate the jumping means.
lda_apply(fv, clf)	Apply feature vector to LDA classifier.
lda_train(fv[, shrink])	Train the LDA classifier.
lfilter(dat, b, a[, zi, timeaxis])	Filter data using the filter defined by the filter coefficients.
lfilter_zi(b, a[, n])	Compute an initial state zi for the lfilter() function.
logarithm(dat)	Computes the element wise natural logarithm of dat.data.
rectify_channels(dat)	Calculate the absolute values in dat.data.
remove_channels(*args, **kwargs)	Remove channels from data.
remove_classes(*args, **kwargs)	Remove classes from an epoched Data object.
remove_epochs(*args, **kwargs)	Remove epochs from an epoched Data object.
rereference(dat, chan[, chanaxis])	Rereference all channels against a single channel
segment_dat(dat, marker_def, ival[, ...])	Convert a continuous data object to an epoched one.
select_channels(dat, regexp_list[, invert, ...])	Select channels from data.
select_classes(dat, indices[, invert, classaxis])	Select classes from an epoched data object.
select_epochs(dat, indices[, invert, classaxis])	Select epochs from an epoched data object.
select_ival(dat, ival[, timeaxis])	Select interval from data.
sort_channels(dat[, chanaxis])	Sort channels.
spectrogram(cnt)	Calculate the spectrogram of a continuous data object.
spectrum(dat[, timeaxis])	Calculate the spectrum of a data object.
square(dat)	Computes the element wise square of dat.data.
stft(x, width)	Short time fourier transform of a real sequence.
subsample(dat, freq[, timeaxis])	Subsample the data to freq Hz.
swapaxes(dat, ax1, ax2)	Swap axes of a Data object.
variance(dat[, timeaxis])	Compute the variance along the timeaxis of dat.

Classes