1 files changed, 0 insertions, 48 deletions

diff --git a/pyecsca/sampling.py b/pyecsca/sampling.py
deleted file mode 100644
index 29dc251..0000000
--- a/pyecsca/sampling.py
+++ /dev/null
@@ -1,48 +0,0 @@
-import numpy as np
-from copy import copy
-from public import public
-from scipy.signal import decimate
-
-from .trace import Trace
-
-
-@public
-def downsample_average(trace: Trace, factor: int = 2) -> Trace:
-    """
-    Downsample samples of `trace` by `factor` by averaging `factor` consecutive samples in
-    non-intersecting windows.
-
-    :param trace:
-    :param factor:
-    :return:
-    """
-    resized = np.resize(trace.samples, len(trace.samples) - (len(trace.samples) % factor))
-    result_samples = resized.reshape(-1, factor).mean(axis=1).astype(trace.samples.dtype)
-    return Trace(copy(trace.title), copy(trace.data), result_samples)
-
-
-@public
-def downsample_pick(trace: Trace, factor: int = 2, offset: int = 0) -> Trace:
-    """
-    Downsample samples of `trace` by `factor` by picking each `factor`-th sample, starting at `offset`.
-
-    :param trace:
-    :param factor:
-    :param offset:
-    :return:
-    """
-    result_samples = trace.samples[offset::factor].copy()
-    return Trace(copy(trace.title), copy(trace.data), result_samples)
-
-
-@public
-def downsample_decimate(trace: Trace, factor: int = 2) -> Trace:
-    """
-    Downsample samples of `trace` by `factor` by decimating.
-
-    :param trace:
-    :param factor:
-    :return:
-    """
-    result_samples = decimate(trace.samples, factor)
-    return Trace(copy(trace.title), copy(trace.data), result_samples)