diff --git a/src/export_edf.jl b/src/export_edf.jl index e559732..3926f1c 100644 --- a/src/export_edf.jl +++ b/src/export_edf.jl @@ -99,7 +99,7 @@ end """ reencode_samples(samples::Samples, sample_type::Type{<:Integer}=Int16) -Encode `samples` so that they can be encoded as `sample_type`. The default +Encode `samples` so that they can be stored as `sample_type`. The default `sample_type` is `Int16` which is the target for EDF format. The returned `Samples` will be encoded, with a `info.sample_type` that is either equal to `sample_type` or losslessly `convert`ible. @@ -110,7 +110,7 @@ extrema, choosing a resolution/offset that maps them to `typemin(sample_type), typemax(sample_type)`. Returns an encoded `Samples`, possibly with updated `info`. If the current -encoded values can be represented with `sample_type`, nothing is changed. If +encoded values can be represented with `sample_type`, the `.info` is not changed. If they cannot, the `sample_type`, `sample_resolution_in_unit`, and `sample_offset_in_unit` fields are changed to reflect the new encoding. """ @@ -138,9 +138,9 @@ function reencode_samples(samples::Samples, sample_type::Type{<:Integer}=Int16) if smin >= typemin(sample_type) && smax <= typemax(sample_type) # XXX: we're being a bit clever here in order to not allocate a # whole new sample array, plugging in the new sample_type, re-using - # the old encodoed samples data, and skipping validation. this is + # the old encoded samples data, and skipping validation. this is # okay in _this specific context_ since we know we're actually - # converting everything to Int16 in the actual export. + # converting everything to sample_type in the actual export. samples = encode(samples) new_info = SamplesInfoV2(Tables.rowmerge(samples.info; sample_type)) return Samples(samples.data, new_info, true; validate=false) @@ -148,7 +148,7 @@ function reencode_samples(samples::Samples, sample_type::Type{<:Integer}=Int16) end # at this point, we know the currently _encoded_ values cannot be - # represented losslessly as Int16, so we need to re-encode. We'll pick new + # represented losslessly as sample_type, so we need to re-encode. We'll pick new # encoding parameters based on the actual signal values, in order to # maximize the dynamic range of Int16 encoding. samples = decode(samples)