Smart Sensing with Adaptive Analog Circuits

Zatorre, G.; Medrano, N.; Celma, S.; Martin-del-Brio, B.; Bono, Antonio

doi:10.1007/11494669_57

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…Because of the high accuracy of digital storage in register-based structures, the combination of both analogue and digital electronic approaches can improve the system features. Previous works [2], [3] presented the use of mixed-mode multipliers in adaptive processor implementation, showing promising results when applied to real problems.…”

Section: Introductionmentioning

confidence: 98%

Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning

Zatorre-Navarro

Marques

Celma-Pueyo

2006

IEEE Trans. Neural Netw.

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The design, analysis, and system simulation of an adaptive processor based on a current-mode mixed analog-digital circuit is presented. The processor consists of a mixed four-quadrant multiplier and a current conveyor that performs the nonlinearity. Schematics, circuit parameters, and a high-level model are shown. The results achieved when applying this processor model to conditioning several sensor types are discussed.

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Section: Introductionmentioning

confidence: 98%

Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning

Zatorre-Navarro

Marques

Celma-Pueyo

2006

IEEE Trans. Neural Netw.

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“…Because of the high accuracy of digital storage in register-based structures, the combination of both analogue and digital electronics can improve the system features. Previous works [2] [3] presented the use of mixedmode multipliers to implement adaptive processors, showing promising results when applied to realistic problems.…”

Section: Introductionmentioning

confidence: 99%

An adaptive circuit for low-power sensor processing: Mismatch effects

Medrano

Sanz

Martínez

et al. 2007

2007 18th European Conference on Circuit Theory and Design

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This paper presents a study of mismatch effects in a digitally programmable analogue processor designed for small embedded applications. Circuit programmability allows for its adaptation to deviations in circuit operation or environmental effects. Starting from circuit simulation data, the system-level operation is modelled, showing its robustness to circuit mismatch. Simulation results of the proposed processor applied to compensate the response of a sinusoidal sensor and its robustness to mismatch are presented.

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“…Due to the high accuracy of digital storage data for long and mid-term in register-based structures, the combination of both electronic technologies can improve the system features. Previous works [3], [4] have presented the use of mixed-mode multipliers in adaptive processors implementation, showing promising results applied to real problems. This paper presents the analysis and simulation of a current-mode based artificial neural network with digital weight storage showing its performance in sensor linearization tasks.…”

Section: Introductionmentioning

confidence: 98%

A mixed-mode conditioning circuit designed for adaptive smart sensing

Zatorre-Navarro

Marques

Celma-Pueyo

Proceedings of the 2005 European Conference on Circuit Theory and Design, 2005.

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This paper explains the design and simulation of a conditioning circuit based on a currentmode mixed analogue-digital adaptive processor. The proposed processor model consists of two main blocks: a D/A four quadrant multiplier and a current conveyor that performs the non-linear output function. Applied to sensors conditioning, the processing system customizes its free parameters, stored in digital registers, adapting the response. System simulation results and achieved performance are presented.

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Smart Sensing with Adaptive Analog Circuits

Cited by 6 publications

References 5 publications

Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning

Analysis and Simulation of a Mixed-Mode Neuron Architecture for Sensor Conditioning

An adaptive circuit for low-power sensor processing: Mismatch effects

A mixed-mode conditioning circuit designed for adaptive smart sensing

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