An analysis of nonlinear behavior in delta - sigma modulators
Sasan H. Ardalan,J.J. Paulos +1 more
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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.read more
Figures
Fig. 6. Minimum Mean Square Error Linearized Gain Modeling of Nonlinearity 
Fig. 23 Nyquist Plot 3rd Order Modulator «11=0.1, (12=0.1, (13=1.0) 
Fig. 16. Calculated SNR for 2nd and 3rd Order Modulator, ~: =256 
Fig. 21. Calculated Variances at Quantizer Input, 2nd Order Sinusoidal Input 
Fig. 22 Nyquist Plot 2nd Order Modulator (Q(=O.5, Q2=1.0)
Citations
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A 1.95-V, 0.34-mW, 12-b sigma-delta modulator stabilized by local feedback loops
S. Au,Bosco Leung +1 more
TL;DR: In this paper, a low power, lowvoltage, 12-b 8-kHz bandwidth /spl Sigma/spl Delta/ modulator for high quality voice that consumes only 0.34 mW at 1.95 V-3.3 V supply using standard 1.2-/spl mu/m CMOS technology is described.
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A Multilevel Artificial Neural Network Nonlinear Equalizer for Millimeter-Wave Mobile Fronthaul Systems
TL;DR: The proposed and validated complex-valued multilevel artificial neural network nonlinear equalizer (ANN-NLE) for single-carrier 16QAM and 64QAM signals transmissions in the 60-GHz radio-over-fiber (RoF) transmission system has a great tolerance to phase rotations and is able to minimize the nonlinear compression in an RoF system.
Proceedings ArticleDOI
Digital halftoning as 2-D delta-sigma modulation
TL;DR: The error diffusion algorithm for digital halftoning is equivalent in form to a noise-shaping feedback coder, a class of delta-sigma modulator, and a gain model for the quantizer is used to account for this correlation.
Proceedings ArticleDOI
A Proposed Stability Characterization and Verification Method for High-Order Single-Bit Delta-Sigma Modulators
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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
James C. Candy,O. Benjamin +1 more
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
B. Agrawal,K. Shenoi +1 more
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,