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An analysis of nonlinear behavior in delta - sigma modulators

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TLDR
This paper introduces a new method of analysis for deltasigma modulators based on modeling the nonlinear quantizer with a linearized gain, obtained by minimizing a mean-square-error criterion, followed by an additive noise source representing distortion components.
Abstract
This paper introduces a new method of analysis for deltasigma modulators based on modeling the nonlinear quantizer with a linearized gain, obtained by minimizing a mean-square-error criterion [7], followed by an additive noise source representing distortion components. In the paper, input signal amplitude dependencies of delta-sigma modulator stability and signal-to-noise ratio are analyzed. It is shown that due to the nonlinearity of the quantizer, the signal-to-noise ratio of the modulator may decrease as the input amplitude increases prior to saturation. Also, a stable third-order delta-sigma modulator may become unstable by increasing the input amplitude beyond a certain threshold. Both of these phenomena are explained by the nonlinear analysis of this paper. The analysis is carried out for both dc and sinusoidal excitations.

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Journal ArticleDOI

Digital Technique for Instability Detection and Saturation Recovery in High-Order SC ΣΔ Modulators

TL;DR: A novel digital technique, which allows to detect instability in the digital domain, a fast recover of high-order modulators from instability and guarantees a minimum of Signal-to-Noise Ratio (SNR) also when the architecture gets unstable, is proposed.
Dissertation

Design of robust and flexible on-chip analog-to-digital conversion architecture

TL;DR: This dissertation presents a comprehensive design and analysis framework for system-on-a-chip analog-to-digital conversion design and shows that analog-todigital converters can be categorized as either a decoder- centered design or an encoder-centered design, allowing meaningful comparisons between converter designs.
Proceedings ArticleDOI

Modeling And Simulation Of aSigma;aDelta; A/D Converters Using A Mixed-mode Simulator

TL;DR: A triple-stage MASH A/D converter using a set of building blocks for SampledData System modeling has been described to illustrate the procedure and advantages of this approach.
Proceedings ArticleDOI

Bit-Streams: Applications in Neural Network Implementation

TL;DR: A new method for the parallel hardware implementation of artificial neural network (ANN) using digital techniques is presented and operations necessary for neural network behaviour like summing, scaling and squashing have been implemented and presented.
Proceedings ArticleDOI

Stability analysis in Higher order Delta Sigma modulator

TL;DR: A comparison of theoretical SQNR Vs OSR performance of Higher order Delta Sigma modulator for audio signal with multibit quantizier and a framework for stability analysis of sigma Delta modulator is presented.
References
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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

Nonlinear Control Engineering

TL;DR: In this paper, a nonlinear control engineering (NCE) approach is proposed to solve the problem of NCE in the context of NCLE, where NCE is applied to control engineering.
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

Design Methodology for ΣΔM

TL;DR: In this paper, a design methodology based on correspondence between performance requirements, mathematical parameters, and circuit parameters of a sigma-delta modulator is presented, which will guide a design engineer in selecting the circuit parameters based on system requirements, in translating paper design directly into LSI design, in predicting the effect of component sensitivity, and in analyzing the operations of the sigmoid modulator, which is viewed as a device which distributes the noise power, determined by peak SNR, over a much broader band, compared to signal bandwidth, shapes and amplifies it,