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Martin Vogels

dblp:30/2921 · DBLP profile ↗
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6ranked-venue papers
3as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 6 · 3 first-authorSoftware engineering, systems software and programming languages · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Integrated circuit design · 64% Electronic design automation · 36%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
analog and mixed-signal circuits
0.122004
An analytical integration method for the simulation of continuous-time ΔΣ modulators · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2004
Architectural selection of A/D converters · DAC 2003
Electronic design automation › hardware simulation
behavioral simulation
0.012004
An analytical integration method for the simulation of continuous-time ΔΣ modulators · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2004
Electronic design automation
circuit simulation
0.012004
An analytical integration method for the simulation of continuous-time ΔΣ modulators · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2004
Integrated circuit design › analog and mixed-signal circuits › mixed-signal circuit design
continuous-time sigma-delta modulator
0.012004
An analytical integration method for the simulation of continuous-time ΔΣ modulators · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2004
Integrated circuit design › analog and mixed-signal circuits
data converters
0.012003
Architectural selection of A/D converters · DAC 2003
Integrated circuit design › analog and mixed-signal circuits › data converters
analog-to-digital converter
0.012004
An analytical integration method for the simulation of continuous-time ΔΣ modulators · IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 2004
Electronic design automation
high-level synthesis
0.012003
Architectural selection of A/D converters · DAC 2003

Methods — techniques the papers use, named apart from their topics

behavioral modeling · 0.0analytical integration · 0.0figure of merit analysis · 0.0design space exploration · 0.0
YearPublicationVenuePosition
2004 An analytical integration method for the simulation of continuous-time ΔΣ modulators
abstract
Circuit-level simulation of /spl Delta//spl Sigma/ modulators is a time-consuming task, taking one or more days for meaningful results. While there are a great variety of techniques and tools that speed up the simulations for discrete-time /spl Delta//spl Sigma/ modulators, there is no rigorous methodology implemented in a tool to efficiently simulate and design the continuous-time counterpart. Nevertheless, in today's low-power, high-accuracy and/or very high-speed demands for A-to-D converters, designers are often forced to resort to the use of continuous-time /spl Delta//spl Sigma/ topologies. In this paper, we present a method for the high-level simulation of continuous-time /spl Delta//spl Sigma/ modulators as needed in top-down design and high-level modulator optimization. The method is based on analytical integration using behavioral models and exhibits the best tradeoff between accuracy, speed, and extensibility in comparison with other possible techniques that are reviewed briefly in this work. This methodology has been implemented in a user-friendly tool. Nonidealities such as finite gain, finite GBW, output impedance, and also nonlinearities, such as clipping, harmonic distortion, and the important effect of jitter are modeled. Finally, the tool was used to carry out some design-relevant experiments, illustrating the straightforward way of obtaining and exploring design tradeoffs at the modulator architectural level.
Georges Gielen, Kenneth Francken, Ewout Martens, Martin Vogels
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.4
2003 Architectural selection of A/D converters
abstract
A method for the architectural selection of analog to digital (A/D) converters based on a generic figure of merit is described. First a figure of merit for the power consumption is introduced. This figure of merit includes both target specifications and technology data and has five generic parameters. The values of these generic parameters can be estimated by analyzing the different converter structures or by means of a fitting procedure using data from published designs. It is shown that the generic parameters have different values for different types of converters. Therefore the trade-off between speed, resolution, power dissipation and technology parameters depends on the type of converter. It is shown that the calculated figures of merit of the published designs, together with the calculated global trade-off comprise a surface in the (5 dimensional) design space. This surface makes it possible to accurately predict the power consumption and select the best converter solution for a certain target application. This can then serve as a first step in data converter synthesis or as a power estimator during high-level system design exploration.
Martin Vogels, Georges Gielen
DAC1
2003 Figure of Merit Based Selection of A/D Converters
Martin Vogels, Georges Gielen
DATE1
2002 DAISY-CT: A High-Level Simulation Tool for Continuous-Time Delta Sigma Modulators
abstract
To reduce the long circuit-level simulation time of /spl Delta//spl Sigma/ modulators, a variety of techniques and tools exist that use high-level models for discrete-time (DT) /spl Delta//spl Sigma/ modulators. There is, however, no rigorous methodology implemented in a tool for the continuous-time (CT) counterpart. Therefore, we have developed a methodology for the high-level simulation of CT /spl Delta/E modulators and implemented this method in a user-friendly tool. Key features are the simulation speed, accuracy and extensibility. Nonidealities such as finite gain, finite GBW, output impedance and also the important effect of jitter are modelled. Finally, experiments were carried out using the tool, exploring important design trade-offs.
Kenneth Francken, Martin Vogels, Ewout Martens, Georges Gielen
DATE2
2002 A behavioral simulation tool for continuous-time delta sigma modulators
abstract
Circuit--level simulation of ΔΣ modulators is a time--consuming task (taking one or more days for meaningful results). While there are a great variety of techniques and tools that speed up the simulations for discrete--time (DT) ΔΣ modulators, there is no rigorous methodology implemented in a tool to efficiently simulate and design the continuous--time (CT) counterpart. Yet, in todays low--power, high--accuracy and/or very high--speed demands for A--to--D converters, designers are often forced to resort to the use of CT ΔΣ topologies. In this paper, we present a method for the high--level simulation of continuous--time ΔΣ modulators that is based on behavioral models and which exhibits the best trade--off between accuracy, speed and extensibility compared to other possible techniques that are reviewed briefly in this work. A user--friendly tool, implementing this methodology, is then presented. Nonidealities such as finite gain, finite GBW, output impedance and also nonlinearities such as clipping, harmonic distortion and the important effect of jitter are modeled. Finally, experiments were carried out using the tool, exploring important design trade--offs.
Kenneth Francken, Martin Vogels, Ewout Martens, Georges Gielen
ICCAD2
2000 Efficient analysis of the stability of sigma-delta modulators using wavelets
abstract
A new method is presented to efficiently estimate the stability boundary for sigma-delta modulators. Wavelet decomposition is used to cut up the input and output signals of the quantizer into different frequency portions. For the portion around the limit cycle an amplification factor and phase shift are calculated. This represents the transfer of the quantizer at that point. The so-formed linear system can then be analyzed using the phase margin. Only a small number of data points need to be evaluated making this method forty times faster than the traditional approach of long transient simulations, with only a very small error.
Martin Vogels, Georges Gielen
ISCAS1