Quantization Noise Shaping for Information Maximizing ADCs
Arthur J. Redfern, Kun Shi

TL;DR
This paper introduces a novel ADC design that employs quantization noise shaping to maximize information transfer within a fixed power budget, adaptable to signals with frequency-dependent information content.
Contribution
It proposes a configurable ADC architecture with quantization noise shaping via loop filter design, applicable to single and multi-channel structures for enhanced information maximization.
Findings
Effective noise shaping improves information throughput.
Applicable to wireline and wireless channels.
Extends to multi-channel ADC structures.
Abstract
ADCs sit at the interface of the analog and digital worlds and fundamentally determine what information is available in the digital domain for processing. This paper shows that a configurable ADC can be designed for signals with non constant information as a function of frequency such that within a fixed power budget the ADC maximizes the information in the converted signal by frequency shaping the quantization noise. Quantization noise shaping can be realized via loop filter design for a single channel delta sigma ADC and extended to common time and frequency interleaved multi channel structures. Results are presented for example wireline and wireless style channels.
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Taxonomy
TopicsAnalog and Mixed-Signal Circuit Design · CCD and CMOS Imaging Sensors · Neural Networks and Applications
