2020
DOI: 10.1109/jssc.2020.2987690
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A 0.1-pJ/b/dB 1.62-to-10.8-Gb/s Video Interface Receiver With Jointly Adaptive CTLE and DFE Using Biased Data-Level Reference

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Cited by 42 publications
(10 citation statements)
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“…Content may change prior to final publication. TCAS-I 17 [10] TCAS-II 18 [7] ISSCC 19 [13] JSSC 20 [11] This Work…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Content may change prior to final publication. TCAS-I 17 [10] TCAS-II 18 [7] ISSCC 19 [13] JSSC 20 [11] This Work…”
Section: Discussionmentioning
confidence: 99%
“…However, such an analog method is vulnerable to PVT variations and not scalable to the CMOS process shrink. In [11], the adaptation based on the SS-LMS algorithm is adopted to both equalizers. However, the equalizer adaptation based on SS-LMS algorithm requires an additional power-hungry error sampler.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Common equalization techniques in high-speed serial links can be divided into liner equalizers (LE) and decision feedback equalizer (DFE) [5,6,7,8,9]. LE uses the frequency characteristics of the adjustable filter to compensate the channel loss, but for high-speed (> 5 Gbps) serial link, since the signal jitter (such as ISI related deterministic jitter) may exceed a symbol interval (UI), using LE alone is no longer applicable [10,11,12,13]. On the other hand, LE amplifies the noise and signal together, which does not improve the BER performance of the communication system [14,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…As the data rate increases in a high-speed serial link demand for high speed chip-to-chip data communication links. [1][2] [3] However, due to skin effects and dielectric losses in the channel, the high-speed serial signal is severely attenuated and distorted after passing through the lossy channel. [4] The solution is to add separate equalization circuits at the transmitter and receiver ends to compensate for the high frequency loss of the channel and to improve data integrity.…”
Section: Introductionmentioning
confidence: 99%