⚡ 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异步采样直方图的自适应均衡器，用于解决高速串行接口中信道带宽限制问题。通过分析异步采样数据的直方图特征，实现了无需参考时钟的自适应均衡，降低了系统复杂度。
As the data rate requirements for many wireline applications increase, channel bandwidth limitation becomes a critical problem in serial interfaces. Equalizers are often used as a solution for this problem. In addition, many applications require the equalizer to be adaptive so that it can provide optimized equalization for different channel conditions. Various types of adaptive equalizers have been investigated for high-speed serial interface applications [1-6]. In the spectrumbalancing method, adaptive equalization is achieved by comparing high and low frequency components of signal power and generating feedback signals until the power spectrum is balanced [1]. Unfortunately, the precision of this scheme is easily affected by process variations, and capacitors both in filters and the feedback loop occupy a large Si area. Digital-signal processing based on maximum likelihood sequence detection can be used for adaptive equalization [2]. But,
Wang-Soo Kim, Chang-Kyung Seong, Woo-Young Choi
Yonsei University, Seoul, Korea