Statistical theory of quantization

By Bernard Widrow, I. Kollár, Ming-chang Liu. 1996

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yossi Adi
2. Alexandre D'efossez
3. Gabriel Synnaeve
4. Sein Park
5. Junhyuk So
6. Juncheol Shin
7. Eunhyeok Park
8. J. Nelson Wright

Citations in the corpus

• Differentiable Model Compression via Pseudo Quantization Noise (2021, methodology): “This approximation was studied in depth by Widrow et al. (1996) as Pseudo Quantization Noise (PQN).”
• NIPQ: Noise Injection Pseudo Quantization for Automated DNN Optimization (2022, methodology): “NIPQ is a QAT scheme that follows the assumption of PQN [27] where the pseudo-noise is injected to approximate the distortion of the quantization operator.”
• A theory of nonsubtractive dither (2000, background): “It must be acknowledged that all theoretical treatments of dithered quantization owe a substantial debt to the work of Widrow [5]‐[ 8 ], who developed many of the essential mathematical tools while studying undithered quantization.”