A regularity-based hierarchical symbolic analysis method for large-scale analog networks

Doboli, A.; Vemuri, R.

doi:10.1109/date.2001.915132

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…22). For example, EDA developed interesting methods to optimize and model dynamic, strongly-connected, mixed-signal systems, including techniques for hierarchical and adaptive optimization of systems with many continuous-valued variables (Gielen & Rutenbar, 2000;Tang et al, 2006) as well as techniques for automated symbolic model generation (Doboli & Vemuri, 2001;Gielen & Rutenbar, 2000). Some of these methods did not become part of Active knowledge front as suggested by their lower citation numbers, even though new ideas on optimization of continuous-valued variables can help improve Deep Neural Network (DNN) training (Goodfellow et al, 2016), while concepts on automated symbolic model generation can lead to explainable DNNs, e.g., IF-THEN rule extraction for a trained DNN (Zhang et al, 2007).…”

Section: Possible Opportunitiesmentioning

confidence: 99%

Combining informetrics and trend analysis to understand past and current directions in electronic design automation

Curiac

Doboli

2022

Scientometrics

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There has been increasing interest in the study of research communities with the goal of optimizing their outcomes and impact. While current methods can predict future trends, they offer little insight about the causes of the trends. However, causal insight is important for strategic decision making to improve a community. This paper presents a new method to predict the possible causes for inefficiencies in a community by relating them to disconnections between trends, like trends in the number of publications, patents, citations, and so on. The method combines traditional scientometric and webometric metrics and metric predictions with a recent model for trend analysis in a community. The proposed method was used to analyze electronic design automation (EDA) domain. The analysis showed intriguing disconnections between the trends of the number of papers, number of granted patents, and impact of its main publications. The analysis suggests a slightly decreasing impact and visibility of EDA, while having less novel, commonly-accepted knowledge in the area. The gained insight suggests three possible strategic decisions to improve EDA community: avoiding to ignore new ideas, reducing the complexity of framed problems, and keeping a minimal gap between real-life needs and academic solutions.

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Section: Possible Opportunitiesmentioning

confidence: 99%

Combining informetrics and trend analysis to understand past and current directions in electronic design automation

Curiac

Doboli

2022

Scientometrics

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“…The formulation and solution of the system of equations describing the behavior of an analog circuit are the main computer tasks in symbolic analysis [55][56][57][58][59][60][61][62][63]. Using nullors, one is able to formulate a system of equations by only applying NA [72][73][74][75][76], because all non-NA compatible elements can be transformed as NA compatible ones [73].…”

Section: Symbolic Namentioning

confidence: 99%

Symbolic analysis of (MO)(I)CCI(II)(III)‐based analog circuits

Tlelo‐Cuautle

Sánchez–López

Moro-Frías

2010

Circuit Theory & Apps

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SUMMARYNew nullor-based models are introduced to describe the behavior of the first generation current conveyor (CCI), second generation current conveyor (CCII), third generation current conveyor (CCIII), their inverting equivalents (ICCI(II)(III)), and/or their multiple output topologies (MO(I)CCI(II)(III)). These nullor equivalents include only grounded resistors to improve the formulation of equations in symbolic nodal analysis. In this manner, it is highlighted the usefulness of the proposed models to calculate analytical expressions in MO(I)CCI(II)(III)-based analog circuits.

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“…The statement .sens calculates only DC small-signal sensitivities of output variables for circuit parameters. Two methods of symbolic analysis were compared [19,20]. The first is based on the topological analysis of the circuit [12], and the second on the symbolic calculation of the admittance matrix.…”

Section: Filter Pair Design Based On Symbolic Analysismentioning

confidence: 99%

Analog filter pair design on the basis of a gyrator–capacitor prototype circuit

Handkiewicz

Katarzyński

Szczęsny

et al. 2010

Circuit Theory & Apps

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SUMMARYThe paper presents an algorithmic approach to a low-sensitivity design strategy for analog filter pairs based on a gyrator-capacitor prototype circuit. The general structure of the prototype circuit is proposed. It assumed that the generic structure of the prototype circuit can evolve, with the use of additional gyrators, into a circuit with increased redundancy. It is shown that symbolic analysis of the prototype circuit, used to formulate a set of nonlinear algebraic equations, is necessary to achieve a sufficiently high algorithm operation speed. To find a solution to this specific system of nonlinear algebraic equations, different numerical methods are compared. The modified Hooke and Jeeves algorithm is found to be the most effective. The elaborated algorithms and programs are illustrated with the seventh-order filter pair example. The obtained filter is better than the filter obtained using LC ladder structures with respect to chip area and power consumption, and these improvements are obtained without loss of sensitivity properties.

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A regularity-based hierarchical symbolic analysis method for large-scale analog networks

Cited by 6 publications

References 2 publications

Combining informetrics and trend analysis to understand past and current directions in electronic design automation

Combining informetrics and trend analysis to understand past and current directions in electronic design automation

Symbolic analysis of (MO)(I)CCI(II)(III)‐based analog circuits

Analog filter pair design on the basis of a gyrator–capacitor prototype circuit

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