Signal.feature([index]) |
return the region of a feature, with vertical displacement threshold tau. |
Signal.feature_match(other[, sigma, num_samples]) |
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Signal.from_pointcloud(points, direction, norm) |
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Signal.gap() |
Return the largest homology. |
Signal.height_measure([sigma, num_samples, …]) |
Use a simulation to estimate the height-measure of an interval. |
Signal.interval_height(interval) |
the indicator-persistence function for intervals, called h_U(A) in the notes. |
Signal.iter_features([min_pers, depth_first]) |
walk the feature tree. |
Signal.iter_intervals() |
return the itertools combinations iterator over all sub-intervals. |
Signal.iter_windows_by_index(window[, step, …]) |
Produce equal-length Signals using a sliding-window on self. |
Signal.jagged([beta]) |
call timeseries.jagged() on this Signal’s own persistence diagram. |
Signal.make_pers() |
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Signal.normalize() |
change this Signal object to have mean = 0 and max-min = 1 |
Signal.plot(canvas[, title]) |
Plot the Signal. |
Signal.profile(arch[, normalize, norm]) |
produce profile by dragging an archetype across self, looking for matches. |
Signal.sample_near([sigma]) |
return a Signal object that is L2-near self in the normal distribution. |
Signal.self_similarity(window[, step, …]) |
Compare sliding windows of this Signal using a distance function. |
Signal.smoothen(beta) |
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