ML4GW / ML4GW/aframe

Zero-latency whitening

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online-overhaul
Dominant language
Python
Stars
18
Forks
28
Avg merge
2d 2h
Merged PRs (30d)
7

Description

Replace BatchWhitener in online/main.py with zero-latency whitening to eliminate FIR filter settling time at the start of each data segment. Determine whether the zlw library can be used directly or whether its approach needs to be re-implemented, and whether training on ZLW-whitened data is required for consistency.

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start in online/main.py by examining how BatchWhitener processes each data segment and where FIR settling time occurs. Investigate whether zlw can be used directly or must be re-implemented, and determine whether training on ZLW-whitened data is needed for consistency; done means whitening has zero startup latency without an inconsistent training setup.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
machine-learning, performance
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Quiet
Clarity
Needs clarification
Newbie friendliness
35/100

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