Título:
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Real-time transient error and induced noise cancellation in linear analog filters using learning-asisted adaptive analog checksums
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Autor/a:
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Gómez Pau, Álvaro; Banerjee, Suvadeep; Chatterjee, Abhijit
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. QINE - Disseny de Baix Consum, Test, Verificació i Circuits Integrats de Seguretat |
Abstract:
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Analog circuits are sensitive to signal aggressions and power supply noise, crosstalk coupling and alpha particle strikes can cause significant degradation of circuit's SNR. This research proposes a novel approach to real-time transient error and induced noise cancellation in linear analog circuits using analog checksums. It is based on the use of state space representations of analog filters and is a significant advancement over prior research that addressed only hard parametric deviations. A key innovation is the use of less than minimum distance checksum codes for error detection and correction using real-time learning of the likely source of transient errors and noise within the analog circuit. By running a simple hardware-directed search algorithm, the circuit “learns” how best to compensate for the injected signal disturbances with low overhead under the assumption that the source of the injected errors/noise and the error/noise statistics are stationary over time. Successful simulations and preliminary experimental results demonstrate almost complete compensation of injected noise, therefore validating the proposal. |
Materia(s):
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-Àrees temàtiques de la UPC::Enginyeria electrònica -Electric circuit analysis. -Circuits analògics |
Derechos:
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Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
Editor:
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Institute of Electrical and Electronics Engineers (IEEE)
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