frame(y[, frame_length, hop_length]) |
Slice a time series into overlapping frames. |
pad_center(data, size[, axis]) |
Wrapper for np.pad to automatically center an array prior to padding. |
fix_length(data, size[, axis]) |
Fix the length an array data to exactly size. |
fix_frames(frames[, x_min, x_max, pad]) |
Fix a list of frames to lie within [x_min, x_max] |
index_to_slice(idx[, idx_min, idx_max, …]) |
Generate a slice array from an index array. |
softmask(X, X_ref[, power, split_zeros]) |
Robustly compute a softmask operation. |
sync(data, idx[, aggregate, pad, axis]) |
Synchronous aggregation of a multi-dimensional array between boundaries |
softmask(X, X_ref[, power, split_zeros]) |
Robustly compute a softmask operation. |
axis_sort(S[, axis, index, value]) |
Sort an array along its rows or columns. |
normalize(S[, norm, axis, threshold, fill]) |
Normalize an array along a chosen axis. |
roll_sparse(x, shift[, axis]) |
Sparse matrix roll |
sparsify_rows(x[, quantile]) |
Return a row-sparse matrix approximating the input x. |
buf_to_float(x[, n_bytes, dtype]) |
Convert an integer buffer to floating point values. |
tiny(x) |
Compute the tiny-value corresponding to an input’s data type. |