2026
AUTOREGRESSIVE-GAUSSIAN MIXTURE MODELS: EFFICIENT GENERATIVE MODELING OF WSS SIGNALS
ICASSP 2026oral
This work addresses the challenge of making generative models suitable for resource-constrained environments like mobile wireless communication systems. We propose a generative model that integrates Autoregressive (AR) parameterization into a Gaussian Mixture Model (GMM) for modeling Wide-Sense Stat…