Direct impelementation of statistical digital signal processing algorithms from the book by the same name by Professor Monson H. Hayes.

The book represents algorithms as:

1. set of instructions (pseudo-code)
2. matlab code
3. described in English in the textbook body

1. Introduction
2. Background
3. Discrete-Time Random Processes
4. Signal Modeling
5. The Levinson Recursion
6. Lattice Filters
7. Optimum Filters
8. Spectrum Estimation
9. Adaptive Filters

• add proper reference
• lint markdown readme
• License
• Finalize test cases for all codes
• pytest-cov?
• python documentation generator
• linting workflow
• pass linting
• mypy static type checking
• Release package scripts
• stub files?
• VS code add-ons
• use matlab-equivalent psuedo-inverse ("X \ R") operation to match the book
• switch linting to Ruff?
• performance benchmarking would be cool