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

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

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...

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Bibliographic Details
Main Authors: Qingnan Yu, Tony Chan Carusone, Antonio Liscidini
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Open Journal of Circuits and Systems
Subjects:
Quantized analog (QA)
digital calibration
adaptive linear combiner (ALC)
non-uniform quantization
peak-to-average power ratio (PAPR)
genetic algorithms
Online Access:https://ieeexplore.ieee.org/document/9721424/

Internet

https://ieeexplore.ieee.org/document/9721424/

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