δ - σ域信号处理:随机计算相关主题综述

2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL) Pub Date : 2023-05-01 DOI:10.1109/ISMVL57333.2023.00027

T. Waho, Akihisa Koyama, Hitoshi Hayashi

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引用次数: 0

摘要

回顾了过去30年来ΔΣ-domain信号处理(ΔΣ-SP)的进展，重点介绍了加法器、乘法器和滤波器等基本电路。基于比特流操作，ΔΣ-SP与随机计算(SC)有许多共同的优点。此外，ΔΣ调制固有的噪声整形特性在克服SC中的挑战方面起着至关重要的作用。神经网络的应用是未来的一个有前途的领域，也进行了描述。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Delta-Sigma Domain Signal Processing: A Review with Relevant Topics in Stochastic Computing

The progress over the last 30 years on ΔΣ-domain signal processing (ΔΣ-SP) is reviewed, focusing on basic circuits such as adders, multipliers, and filters. Based on bitstream operations, ΔΣ-SP shares many advantages with stochastic computing (SC). Moreover, the noise-shaping properties inherent to the ΔΣ modulation play a crucial role in overcoming the challenges in SC. Neural network applications, a promising field in the future, are also described.

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2023 IEEE 53rd International Symposium on Multiple-Valued Logic (ISMVL)

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