Mixed-Signal Programmable Non-Linear Interface for Resource-Efficient Multi-Sensor Analytics

📋 论文概要

该论文提出了一种混合信号可编程非线性接口，用于资源高效的多传感器分析，解决了传统数字后端处理功耗过高的问题。通过模拟域特征提取和数据压缩，减少了数字化所需的数据量和字长，从而降低了系统功耗。

💡 主要创新点

• 提出了一种可编程的模拟非线性接口，能够根据传感器类型动态调整非线性函数，实现高效的数据压缩。
• 将特征提取和压缩功能集成到模拟前端，减少了数字后端的计算负担和数据传输量。
• 实现了多传感器系统的资源高效处理，支持多种传感器类型的自适应配置。

🏷 关键词

📄 原文摘要

many portable always-awake and multi-sensor systems, the power consumption is dominated by digital backend processing [1] for feature-computation and classification. Recent Analog-to-Information based innovations (see Fig. 21.1.1) have attempted to alleviate this bottleneck by reducing the amount of data streaming into the digital domain: (a) by extracting sensory features in the analog domain [2] and digitizing these instead of the raw-data; and (b) by compressing the data through an analog non-linearity in order to reduce the required digitization word-length [3-5]. Yet, both approaches suffer from limited applicability and design reuse problems, due to (a) their need for highly application-specific building blocks which are not portable across different sensor-signals in multi-sensor platforms;

👥 作者与机构

Komail Badami, Juan-Carlos Pena Ramos, Steven Lauwereins, Marian Verhelst

KU Leuven, Leuven, Belgium Tremendous progress has been made in reducing ADC power-consumption, yet, in