Communication system in Matlab ☎️

Eliminating Quantization Errors in Classification-Based Sound Source Localization

Dive into advanced quantization techniques. Learn to implement and customize linear quantization functions, measure quantization error, and compress model weights using PyTorch for efficient and accessible AI models.

A machine learning project utilizing a 1D CNN to simultaneously locate up to three acoustic sources. Features advanced signal processing techniques like Permutation Invariant Training (PIT) to stabilize learning, alongside a detailed analysis of how sampling rates and volume affect accuracy.

Create a gif of an image as it is increasingly compressed using error analysis to show where abnormal degradation can be observed.