Analog small-signal modeling-part I: behavioral signal path modeling for analog integrated circuits

Leyn, F.; Gielen, Georges; Sansen, Willy

doi:10.1109/82.958340

Cited by 19 publications

(11 citation statements)

References 14 publications

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“…In bottomup design style, the designers target towards model order reduction. Some useful works are projection based method [4], symbolic modeling method [5], Behavioral signal path modeling [6]. Projection based method [7], and symbolic modeling method [8], are also used for linear time varying systems.…”

Section: Related Workmentioning

confidence: 99%

Auto-generation of ams behavioral models in different languages from hybrid automata

Ain

Dasgupta

2010

2010 IEEE Students Technology Symposium (TechSym)

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This paper proposes a methodology for automatic generation of behavioral models of analog and mixed signal circuits in different languages from hybrid system based specification. The proposed approach captures the design specification of a class of circuits into a language independent high level library of models. Taking the user input, and the domain knowledge from the specification, and by parsing the library of models, the model generator automatically generates the behavioral models in different languages. In this work, the behavioral models are developed in Verilog-A and SPICE languages, which are often used in industrial applications and are also structurally different. The methodology is explained with a synthetic example of programmable gain amplifier with automatic gain control circuit.

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Section: Related Workmentioning

confidence: 99%

Auto-generation of ams behavioral models in different languages from hybrid automata

Ain

Dasgupta

2010

2010 IEEE Students Technology Symposium (TechSym)

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“…Behavioral signal path (BSP) technique [9,10] allows the derivation of design relationships and requirements. It shows all the conversions from voltage to current or vice versa, and how poles and zeros affect the transfer function.…”

Section: Related Workmentioning

confidence: 99%

Systematic development of analog circuit structural macromodels through behavioral model decoupling

Wei

Doboli

2005

Proceedings of the 42nd Annual Conference on Design Automation - DAC '05

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This paper presents a systematic methodology to create customized structural macromodels for a specific analog circuit. The novel contributions of the method include definition of the building block behavioral concept and two original algorithms to generate structural models. Experiments are offered for two-stage opamp and operational transconductor amplifier (OTA) circuits. The automatically produced models are accurate, offer design insight, and require low modeling effort.

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“…Circuit macromodels are mainly utilized for fast performance evaluation, automated generation of symbolic equations for circuit design and synthesis, and gaining insight into circuit operation. Existing macromodeling methods can successfully address a variety of performance attributes, including small-signal AC performance [1], [3], weakly nonlinear distortion analysis [5], [6], and large-signal analysis [4].…”

Section: Introductionmentioning

confidence: 99%

“…Circuit macromodels are very important in expressing the main characteristics of an analog circuit, e.g., the mathematical dependency of the voltages and currents of circuit nodes on the design variables, e.g., transistor dimensions [1], [2], and the expression of performance attributes as functions of the circuit design variables [3], [4]. The first type of macromodels are usually called structural models and the latter type are called black box models.…”

Section: Introductionmentioning

confidence: 99%

A symbolic technique for automated characterization of the uniqueness and similarity of analog circuit design features

Ferent

Doboli

2011

2011 Design, Automation &Amp; Test in Europe

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This paper presents a technique for automated generation of hierarchical classification schemes to express the main similarities and differences between analog circuits. The produced classification schemes offer insight about the uniqueness and importance of specific design features in setting various performance attributes as well as the limiting factors of designs. Hence, the classification schemes serve as a systematic way of relating one circuit design to alternatives. The automatically produced classification schemes for a set of OpAmps are discussed.

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Analog small-signal modeling-part I: behavioral signal path modeling for analog integrated circuits

Cited by 19 publications

References 14 publications

Auto-generation of ams behavioral models in different languages from hybrid automata

Auto-generation of ams behavioral models in different languages from hybrid automata

Systematic development of analog circuit structural macromodels through behavioral model decoupling

A symbolic technique for automated characterization of the uniqueness and similarity of analog circuit design features

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