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This fix changes the way signal differentiation has been done until now
Included pseudocode and a more specific description of the algorithm. Update dis/advantages and references
Due to updates made to the algo, testing the type behaviour of the variable factor can be skipped since the cast to float is done inside the algo function
Fix TBR encoding
fix timestep error to avoid generating spikes at t=0, update threshold types and handle threshold properly
Refactor code and docs for latency encoding algorithms
Refactor code and docs for Global Referenced algorithms
… method documentation
Refactor FilterBank
… enhance filter section
…d `encoders` BREAKING CHANGE: import paths have changed. - `spikify.filtering` → `spikify.filters` - `spikify.encoding` → `spikify.encoders`
Tecnical description for algorithms and filters
refactor!: rename `filtering` and `encoding` packages to `filters` an…
Update changelog
Bump version: 0.3.0 → 1.0.0
Codecov Report❌ Patch coverage is @@ Coverage Diff @@
## main #44 +/- ##
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+ Coverage 97.75% 99.76% +2.00%
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Files 21 21
Lines 401 418 +17
Branches 112 103 -9
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+ Hits 392 417 +25
+ Misses 4 0 -4
+ Partials 5 1 -4
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| # Adjust levels to avoid out-of-range values | ||
| levels = np.clip(levels, 0, 2**num_bits - 1) | ||
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| spikes = np.zeros((T, F), dtype=np.uint8) |
| spike = np.zeros_like(signal, dtype=np.int8) | ||
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| # base signal initialized at the start of the signal | ||
| base = signal[0, :] |
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