A 5 Gbps 1.6 mW/G bps/CH Adaptive Crosstalk Cancellation Scheme With Reference-less Digital Calibration and Switched Termination Resistors for Single-Ended Parallel Interface

Hwang, Kyu-Dong; Kim, Lee-Sup

doi:10.1109/tcsi.2014.2333362

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…There are two possible ways to overcome this. One is to perform foreground calibration periodically, for example, in certain applications where the system needs to be re-calibrated at wake-up [11], [12]. In applications where the system is never taken offline, it can be calibrated first using a known reference before switching to the decision-directed mode whereby the reference is obtained from the output decisions [10].…”

Section: B Mismatch Calibrationmentioning

confidence: 99%

Optimization of Quantized Analog Signal Processing Using Genetic Algorithms and μ-Law

Yu¹,

Carusone

Liscidini

2022

IEEE Open J. Circuits Syst.

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Digital mismatch calibration for quantized analog (QA) signal processing is proposed for the first time. Since the proposed calibration mechanism does not require uniform QA slicer levels, non-uniform quantization can be applied to improve the system performance. We propose two methods utilizing the genetic algorithm and µ-law to find non-uniform slicer levels offering superior performance compared to uniform levels. Simulations show that for a QA amplifier consisting of 32 slices, the signal-to-noise-anddistortion ratio (SNDR) under a multitone input can be doubled by adjusting only the quantization levels while maintaining the same structure and same power, compared to uniform quantization levels that provide 54 dB of SNDR.

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Section: B Mismatch Calibrationmentioning

confidence: 99%