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_calc_oa_lens(s1, s2)

The calculation is done for a single dimension.

Parameters

s1 : int

Size of the dimension for the first array.

s2 : int

Size of the dimension for the second array.

Returns

block_size : int

The size of the FFT blocks.

overlap : int

The amount of overlap between two blocks.

in1_step : int

The size of each step for the first array.

in2_step : int

The size of each step for the first array.

Calculate the optimal FFT lengths for overlapp-add convolution.

Examples

See :

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


GitHub : /scipy/signal/_signaltools.py#672
type: <class 'function'>
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