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Journal ArticleDOI

Decimation for Sigma Delta Modulation

James C. Candy
- 01 Jan 1986 - 
- Vol. 34, Iss: 1, pp 72-76
TLDR
It is shown that digital filters comprising cascades of integrate-and-dump functions can match the structure of the noise from sigma delta modulation to provide decimation with negligible loss of signal-to-noise ratio.
Abstract
Decimation is an important component of oversampled analog-to-digital conversion. It transforms the digitally modulated signal from short words occurring at high sampling rate to longer words at the Nyquist rate. Here we are concerned with the initial stage of decimation, where the word rate decreases to about four times the Nyquist rate. We show that digital filters comprising cascades of integrate-and-dump functions can match the structure of the noise from sigma delta modulation to provide decimation with negligible loss of signal-to-noise ratio. Explicit formulas evaluate particular tradeoffs between modulation rate, signal-to-noise ratio, length of digital words, and complexity of the modulating and decimating functions.

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Citations
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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.
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Multirate digital signal processing

TL;DR: This book by Elliott and Rao is a valuable contribution to the general areas of signal processing and communications and can be used for a graduate level course in perhaps two ways.
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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.
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Quantization noise spectra

TL;DR: Exact formulas for quantizer noise spectra are developed and several results describing the behavior of quantization noise in a unified and simplified manner are discussed.
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Oversampled Sigma-Delta Modulation

TL;DR: This paper rigorously derive several basic properties of a simple discrete-time single integrator loop sigma-delta modulator with an accumulate-and-dump demodulator and shows that when the input is constant, the state sequence of the integrator in the encoder loop can be modeled exactly as a linear system in an appropriate space.
References
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Journal ArticleDOI

Multirate digital signal processing

TL;DR: This book by Elliott and Rao is a valuable contribution to the general areas of signal processing and communications and can be used for a graduate level course in perhaps two ways.
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.
Journal ArticleDOI

Interpolation and decimation of digital signals—A tutorial review

TL;DR: This paper presents a tutorial overview of multirate digital signal processing as applied to systems for decimation and interpolation and discusses a theoretical model for such systems (based on the sampling theorem), and shows how various structures can be derived to provide efficient implementations of these systems.
Book ChapterDOI

The Structure of Quantization Noise from Sigma-Delta Modulation

TL;DR: 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.
Journal ArticleDOI

Nine digital filters for decimation and interpolation

TL;DR: A simple resampling technique is presented that extends the range of designs to conversions between any two rates and can vary slightly as in a practical situation where the input signal and output signal are under the control of autonomous clocks.