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2 parents 0b61ef7 + 1932885 commit e8a8c50Copy full SHA for e8a8c50
pymodalib/implementations/python/wavelet/wavelet_transform.py
@@ -309,7 +309,8 @@ def wavelet_transform(
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else:
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n1 = np.floor((NL - L) * coib1[0] / (coib1[0] + coib2[0]))
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n2 = np.ceil((NL - L) * coib1[0] / (coib1[0] + coib2[0]))
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-
+ n1 = int(n1)
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+ n2 = int(n2)
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if padding == "predictive":
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pow = (-(L / fs - np.arange(1, L + 1) / fs)) / (wp.t2h - wp.t1h)
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w = 2 ** pow
@@ -498,6 +499,8 @@ def wavelet_transform(
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"cut_edges": cut_edges,
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"fs": fs,
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"padding": padding,
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+ "n1": n1,
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+ "n2": n2,
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"rel_tolerance": rel_tolerance,
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}
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return WT, freq, opt
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