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Home Page: https://www.wiley.com/en-ca/Statistical+Digital+Signal+Processing+and+Modeling-p-9780471594314
License: MIT License
Statistical Digital Signal Processing and Modeling
Home Page: https://www.wiley.com/en-ca/Statistical+Digital+Signal+Processing+and+Modeling-p-9780471594314
License: MIT License
use stubgen and stubtest to ensure consistency between the code and the stub files. Focus of developer should be on the .py static type checking, type annotations, implementation, and documentation, stub files will aim to be automated to provide a clean overview of how the api evolves (grows) over time.
Originally posted by @molfat in #9 (comment)
Well documented, well explained jupyter notebooks re-creating book examples.
Ensure all implemented functions in optimal.py have a test case with an assert for pass/fail under tests/test_optimal.py
Populate tests/test_adaptive.py
Ensure all implemented functions in spectrum.py have a test case with an assert for pass/fail under tests/test_spectrum.py
Populate tests/test_system.py
Ensure all implemented functions in modeling.py have a test case with an assert
for pass/fail under tests/test_modeling.py
Implement and test the ARMA processes.
Populate tests/test_lattice.py
Move pyssp --> ssp
Move all requirements*.txt and dev files into a new dev folder.
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