[Fix] _interpolate_big method from signal_fixpeaks method

[pfilo8]

Description

This PR aims at repairing a possible bug in the _interpolate_big method from the signal_fixpeaks method, i.e. wrong argument is passed to the interpolate function.

Proposed Changes

One-line change which is self-explanatory.

Checklist

Here are some things to check before creating the PR. If you encounter any issues, do let us know :)

• [ x] I have read the CONTRIBUTING file.
• [ x] My PR is targetted at the dev branch (and not towards the master branch).
• [ x] I ran the CODE CHECKS on the files I added or modified and fixed the errors.
• [ x] I have added the newly added features to News.rst (if applicable)

[welcome]

Thanks for opening this pull request! We'll make sure it's perfect before merging 🤗
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[codecov-commenter]

Codecov Report

Merging #530 (fbbae53) into dev (c110438) will increase coverage by 0.00%.
The diff coverage is 0.00%.

@@           Coverage Diff           @@
##              dev     #530   +/-   ##
=======================================
  Coverage   85.31%   85.31%           
=======================================
  Files         199      199           
  Lines        9750     9772   +22     
=======================================
+ Hits         8318     8337   +19     
- Misses       1432     1435    +3     

Impacted Files	Coverage Δ
neurokit2/signal/signal_fixpeaks.py	97.70% <0.00%> (ø)
neurokit2/rsp/rsp_simulate.py	95.53% <0.00%> (-2.68%)	⬇️
neurokit2/complexity/entropy_multiscale.py	94.23% <0.00%> (-1.12%)	⬇️
neurokit2/complexity/fractal_katz.py	100.00% <0.00%> (ø)
neurokit2/complexity/entropy_fuzzy.py	100.00% <0.00%> (ø)
neurokit2/complexity/entropy_sample.py	100.00% <0.00%> (ø)
neurokit2/complexity/entropy_shannon.py	100.00% <0.00%> (ø)
neurokit2/complexity/fractal_higuchi.py	94.89% <0.00%> (+0.05%)	⬆️
neurokit2/emg/emg_activation.py	87.32% <0.00%> (+0.08%)	⬆️
neurokit2/complexity/fractal_dfa.py	93.33% <0.00%> (+0.09%)	⬆️
... and 4 more

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[DominiqueMakowski]

Siemanko @pfilo8

good catch! looks great

dzienki za ta contribucje ☺️

[welcome]

Congrats on merging your first pull request! 🎉🍾 We're looking forward to your next one!