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Book ChapterDOI

The Structure of Quantization Noise from Sigma-Delta Modulation

James C. Candy, +1 more
- 01 Sep 1981 - 
- Vol. 29, Iss: 9, pp 1316-1323
TLDR
Simple algebraic expressions for this modulation noise and its spectrum in terms of the input amplitude are derived and can be useful for designing oversampled analog to digital converters that use sigma-delta modulation for the primary conversion.
Abstract
When the sampling rate of a sigma-delta modulator far exceeds the frequencies of the input signal, its modulation noise is highly correlated with the amplitude of the input. We derive simple algebraic expressions for this noise and its spectrum in terms of the input amplitude. The results agree with measurements taken on a breadboard circuit. This work can be useful for designing oversampled analog to digital converters that use sigma-delta modulation for the primary conversion.

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Citations
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Book

Understanding Delta-Sigma Data Converters

TL;DR: This chapter discusses the design and simulation of delta-sigma modulator systems, and some of the considerations for implementation considerations for [Delta][Sigma] ADCs.
Journal ArticleDOI

Quantization

TL;DR: The key to a successful quantization is the selection of an error criterion – such as entropy and signal-to-noise ratio – and the development of optimal quantizers for this criterion.
Journal ArticleDOI

The design of sigma-delta modulation analog-to-digital converters

TL;DR: The author examines the practical design criteria for implementing oversampled analog/digital converters based on second-order sigma-delta ( Sigma Delta ) modulation and applies these criteria to the design of a modulator that has been integrated in a 3- mu m CMOS technology.
Journal ArticleDOI

An overview of sigma-delta converters

TL;DR: This article describes conventional A/D conversion, as well as its performance modeling, and examines the use of sigma-delta converters to convert narrowband bandpass signals with high resolution.
Journal ArticleDOI

A Use of Double Integration in Sigma Delta Modulation

TL;DR: A modulator that employs double integration and two-level quantization is easy to implement and is tolerant of parameter variation.
References
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Journal ArticleDOI

Using Triangularly Weighted Interpolation to Get 13-Bit PCM from a Sigma-Delta Modulator

TL;DR: A practical method for overcoming a thresholding action that distorts low-amplitude input signals and use of appropriate weights in the accumulation has important advantages for providing finer resoution, less spectral distortion, and white quantization noise.
Journal ArticleDOI

A Voiceband Codec with Digital Filtering

TL;DR: Oversampling and digital filtering have been used to design a per-channel voiceband codec with resolution that exceeds the typical transmission system requirement by more than 15 dB and the response of the codec is described mathematically and the results are confirmed by measurements of experimental breadboard models.
Journal ArticleDOI

Calculated quantizing noise of single-integration delta-modulation coders

TL;DR: In this paper, the granular quantizing noise for a delta modulator that has unequal positive and negative step sizes was calculated by adding a ramp function of time to the input of a symmetrical coder.
Journal ArticleDOI

A single-channel PCM codec

TL;DR: A single channel PCM codec is described which is being manufactured for use in the new British Post Office range of digital PABXs and meets all the relevant CCITT Recommendations with significant operating margins.
Journal ArticleDOI

Direct-feedback coders: Design and performance with television signals

TL;DR: General formulae are given for the output noise and optimum filter characteristics; they take into account signal spectra, frequency weighting for noise, sampling rate, quantization step size, and an overload parameter.