1.0

• Active Noise Cancellation with Error Microphone, Reference Microphone, Output Speaker
• Reference Microphone over TCP/IP
• Support for multiple algorithms though Recursive Least Squares is the only one currently implemented.
• External C libraries for filtering algorithm and networking - this was necessary to get near real time performance
• Terminal User Interface for server role
• Client User Interface for server and client
• Plotting signals using Matplotlib to enable analysis and debugging
• Documented - https://diminish.ai/#/

See Roadmap for next steps

Before Refactor

"Complete" implementation before adding documentation, removing old code, and creating experimentation framework.

0.1

This is a first pass ANC library that supports the following

• Python ANC filtering using LMS, NLMS, NSSLMS, and RLS
• Fast version of LMS and RLS using C bindings
• Support for precorded audio and live audio
• Graphing signals for debugging purposes

The method that works best is the C version of RLS. RLS converges quickly and the C library is fast enough to process live audio.