The fastest and most accurate quantization method for high-dimensional vectors. Our project introduces Segmented Code Adjustment Quantization (SAQ), a novel quantization algorithm built upon dimension ...

This repository contains source code for training and evaluating deep learning models for log-likelihood ratio (LLR, L-values) compression and finite precision quantization. For more details, please ...

Abstract: Quantization is a widely used technique to compress neural networks. Assigning uniform bit-widths across all layers can result in significant accuracy degradation at low precision and ...

Abstract: An architecture to simplify the circuit implementation of analog-to-digital (A/D) converter in a sigma-delta (ΣΔ) modulator is proposed. The two-step quantization technique is utilized to ...