Proceedings of the conference on Design, Automation and Test in Europe - Volume 2
A two-stage genetic algorithm method for optimization the ΣΔ modulators
Proceedings of the 2005 Asia and South Pacific Design Automation Conference
Proceedings of the 2006 international symposium on Low power electronics and design
Proceedings of the 17th ACM Great Lakes symposium on VLSI
Proceedings of the conference on Design, automation and test in Europe
Proceedings of the conference on Design, automation and test in Europe
Flexibility-oriented design methodology for reconfigurable ΔΣ modulators
Proceedings of the conference on Design, automation and test in Europe
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Statistical performance modeling and optimization
Foundations and Trends in Electronic Design Automation
Classification of analog synthesis tools based on their architecture selection mechanisms
Integration, the VLSI Journal
Analog Integrated Circuits and Signal Processing
System-level simulation for continuous-time delta-sigma modulator in MATLAB SIMULINK
CSECS'06 Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing
Reconfigurable ΔΣ modulator topology design through hierarchical mapping and constraint extraction
Integration, the VLSI Journal
A Sigma-Delta ADC design automation tool with embedded performance estimator
Integration, the VLSI Journal
Systematic top-down design of reconfigurable ΣΔ modulators for multi-standard transceivers
Analog Integrated Circuits and Signal Processing
Accurate time-domain simulation of continuous-time sigma-delta modulators
IEEE Transactions on Circuits and Systems Part I: Regular Papers
An automated high-level topology generation procedure for continuous-time ΣΔ modulator
Integration, the VLSI Journal
International Journal of Software Science and Computational Intelligence
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An approach is presented for the high-level simulation and synthesis of discrete-time ΔΣ modulators based on a simulation-based optimization strategy. The high-level synthesis approach determines both the optimum modulator topology and the required building block specifications, such that the system specifications-mainly accuracy (dynamic range) and signal bandwidth-are satisfied at the lowest possible power consumption. A genetic-based differential evolution algorithm is used in combination with a fast dedicated behavioral simulator to realistically analyze and optimize the modulator performance. The approach has been implemented in a tool called Daisy (Delta-Sigma Analysis and Synthesis). Experimental results are shown for both the analysis and synthesis capabilities, illustrating the effectiveness of the approach. The selected range of optimized ΔΣ modulator topologies as a function of the modulator specifications for a wide range of values indicate the capabilities of and the performance range covered by the tool.