README.md

metadata

title: LWM-Spectro Lab
emoji: 🔍
colorFrom: purple
colorTo: indigo
sdk: gradio
sdk_version: 6.0.1
app_file: app.py
pinned: false
short_description: Exploring spectrograms, LWM embedding, and its evaluations.

LWM-Spectro Lab

Interactive lab for exploring LWM spectrogram embeddings on Sub-6 GHz I/Q baseband data. Browse the bundled DeepMIMO-derived samples (LTE / WiFi / 5G, 128×128 spectrograms, 10.5k total), compare LWM embeddings against raw spectrogram vectors, and probe precomputed MoE embeddings for joint SNR/mobility.

What you get

• Data slices: LTE / WiFi / 5G Sub-6 GHz I/Q baseband spectrograms with modulation, SNR, and mobility labels; 500 samples per SNR per tech (7 SNRs).
• Visualization: Peek at the raw 128×128 Sub-6 GHz I/Q baseband spectrograms, and compare LWM tech-specific embeddings vs. normalized raw vectors via balanced t-SNE.
• Lightweight probes: Run k-NN prototypes for per-tech modulation recognition and joint SNR/Doppler classification using the cached MoE embeddings alongside raw baselines.

Features

• Filtered gallery of raw Sub-6 GHz spectrograms (tech/SNR/modulation/mobility).
• t-SNE with SNR-balanced sampling for LWM embeddings vs. raw spectrogram vectors.
• Adaptive k-NN probes for modulation (per tech) and joint SNR/Doppler (MoE vs. raw) performance.

Usage

1. Select the Spectrograms and t-SNE Analysis tabs to explore embeddings.
2. Switch to Modulation Classification or Joint SNR/Doppler Evaluation to run the k-NN prototype with adjustable train/test splits.

Tab Cheat Sheet

• Spectrograms: Inspect raw 128×128 Sub-6 GHz I/Q baseband spectrograms per technology/SNR/modulation/mobility before feature extraction.
• t-SNE Analysis: Recreate the SNR-ordered scatter plots from plot/plot_tsne.py with balanced sampling across SNRs. Example: hold SNR fixed and color by modulation to see how modulation clusters separate (or collapse) as SNR changes.
• Modulation Classification: Benchmark a lightweight k-NN probe on LWM embeddings vs. raw inputs for each technology.
• Joint SNR/Doppler Evaluation: Compare cached MoE embeddings and raw spectrograms on the 14-way SNR/mobility task.