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(epo, filt[, columns]) | Apply the CSP filter. |
| 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) |
| 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. |
| 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
| LW | alias of LedoitWolf |