Advanced radar-based classification system for detecting and distinguishing UAVs, birds, and RC aircraft using SVMD signal decomposition and deep learning feature extraction.

This project explores various approaches for audio classification using neural networks with TensorFlow and Keras. The notebook demonstrates the complete process from data loading and preprocessing to model building, training, evaluation, and inference.

Spectrogram Slicer & Windowizer is a modern, interactive GUI tool built using CustomTkinter for efficiently handling batches of 2D spectrogram data (stored as .npy NumPy arrays).

Lightweight inversion of causal and non-causal SincNet spectrogram