On Robustness Properties of Beta Encoders and Golden Ratio Encoders
Rachel Ward

TL;DR
This paper demonstrates that beta and golden ratio encoders for analog-to-digital conversion are robust against hardware imperfections, allowing precise recovery of the encoding base despite component inaccuracies.
Contribution
It introduces a method to accurately approximate the base beta in beta and golden ratio encoders despite hardware imprecisions, enhancing their robustness.
Findings
Exponential precision in approximating beta is achievable.
Robustness of encoders against component imperfections is demonstrated.
Method applies to both beta and golden ratio encoders.
Abstract
The beta-encoder was recently proposed as a quantization scheme for analog-to-digital conversion; in contrast to classical binary quantization, in which each analog sample x in [-1,1] is mapped to the first N bits of its base-2 expansion, beta-encoders replace each sample x with its expansion in a base beta satisfying 1 < beta < 2. This expansion is non-unique when 1 < beta < 2, and the beta-encoder exploits this redundancy to correct inevitable errors made by the quantizer component of its circuit design. The multiplier element of the beta-encoder will also be imprecise; effectively, the true value beta at any time can only be specified to within an interval [ beta_{low}, beta_{high} ]. This problem was addressed by the golden ratio encoder, a close relative of the beta-encoder that does not require a precise multiplier. However, the golden ratio encoder is susceptible to integrator…
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Taxonomy
TopicsAnalog and Mixed-Signal Circuit Design · Computability, Logic, AI Algorithms · Neural Networks and Applications
