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ISSCC 2026Session 24 · DISPLAYSAI / ML

A Touch-Embedded OLED Display-Driver IC with Display Noise Referencing and Display Coupling Noise Prediction Based on Dedicated Neural Networks for Mobile Applications with CoE Display

⚡ 本页包含 AI 生成的分析内容,仅供参考

📋 论文概要

提出一种触摸嵌入OLED显示驱动IC,通过显示噪声参考和显示耦合噪声预测技术,结合专用神经网络引擎,克服触摸与显示电极间的干扰,实现高信噪比。

💡 主要创新点

核心指标
SNR分别为43.4dB(白色图像)和41.8dB(1H斑马图像)
重要性
发表年份
ISSCC 2026

🏷 关键词

触摸嵌入OLED显示驱动IC显示耦合噪声预测神经网络引擎

📄 原文摘要

controller to overcome the interference issue between touch and display electrodes. In addition, an analog frontend (AFE) circuit is introduced to suppress coupling noise from display, and a dedicated neural network engine is used to improve interference based on displayed image and display driving condition. The TDDI can achieve SNRs of 43.4 and 41.8dB with white and 1H zebra images, respectively. Recently, organic light emitting diode (OLED) displays adopting a color filter on encapsulation (CoE) structure have been introduced, which eliminate the polarizer of the display panel stack to improve optical efficiency. This leads to thinner encapsulation layers, causing significant coupling noise issues between display and touch electrodes. This noise degrades touch accuracy and overall system reliability, making effective noise-suppression

👥 作者与机构

Yun-Rae Jo, Sewhan Na, Sanho Byun, Junchul Park, Gyeongmin Ha, Jiheon Ok, Tae-Gyun Song, Woo-Nyoung Lee, Jihyun Lee, Hyun-Wook Lim,

Siwoo Kim, Jae-Youl Lee Samsung Electronics, Hwaseong, Korea Abstract This paper proposes a TDDI, integrating display driver and touch

分类:AI / ML · 年份:ISSCC 2026