⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文提出了一种基于混合信号处理的线性变换空间滤波器，实现了8×8矩阵向量乘法，在65nm CMOS工艺中达到2pJ/MAC的能效，并具有84dB的干扰抑制能力。解决了传统模拟矩阵乘法器分辨率低、干扰抑制不足的问题，适用于源分离和定位等任务。
machine learning (ML) and the internet-of-things (IoT) have resulted in a renewed interest in analog matrix-vector multiplication (MvM) accelerators [1-3]. Classification based tasks have exploited low-to-medium resolution multiplication and accuracy boosting algorithms in order to compensate for the reduced resolution. Complementing classification, tasks like source separation and localization have diverse applications ranging from signal conditioning in communication [4] and ultrasound to electroencephalography (EEG) [5] source localization and spike sorting, and greatly benefit from similar algorithms. However, due to their lower resolution and limited channel count previously developed systems cannot be directly applied to this task. High-resolution analog
Siddharth Joshi1, Chul Kim1, Sohmyung Ha2, Yu Mike Chi3, Gert Cauwenberghs1
University of California, San Diego, CA New York University, Abu Dhabi, United Arab Emirates 3 Cognionics, San Diego, CA 1 2 Advances in