Struggling with Chebyshev Filter Integration in CNN — Any Advice? [R]

Reddit r/MachineLearning / 5/4/2026

💬 OpinionIdeas & Deep AnalysisTools & Practical Usage

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Key Points

A Reddit user is trying to integrate a Chebyshev filter with a CNN for better performance than a baseline model, but observed results are essentially unchanged so far.
They have tried multiple variants, including changing Chebyshev filter parameters and different integration points (preprocessing vs inside the network pipeline), without seeing meaningful accuracy gains.
The post asks the community for practical guidance on where to integrate the filter and whether this approach has actually improved performance in similar projects.
They are also looking for tips on tuning and common pitfalls, plus references to papers or repositories that combine classical signal-processing filters with CNNs.
The motivation includes meeting expectations from a supervisor soon, so they want actionable pointers to unblock progress.

Hey everyone,

I’m currently working on a project where I’m trying to integrate a Chebyshev filter into a CNN architecture to improve performance compared to a baseline model. The idea is to leverage the filter (either in preprocessing or as part of the network pipeline) to enhance feature extraction, but so far my results are… basically the same as the baseline 😅

I’ve experimented with a few variations (different filter parameters, placements in the pipeline, etc.), but I’m not seeing any meaningful improvement in accuracy. At this point, I’m wondering if I’m missing something fundamental in how this should be applied, or if the benefit just isn’t that significant in practice.

Has anyone here worked on something similar or tried combining classical signal processing techniques like Chebyshev filters with CNNs?

Where did you integrate the filter (input preprocessing vs inside the network)?

Did it actually help performance?

Any tips on tuning or pitfalls to avoid?

I’m kind of stuck right now and my supervisor is expecting some progress soon, so I’d really appreciate any pointers or even papers/repos I could look into.

Thanks in advance!

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