An AI-calibrated IF filter a yield enhancement method with area and power dissipation reductions.

An AI-calibrated IF filter a yield enhancement method with area and power dissipation reductions.

We have developed a large-scale integration (LSI) for Gm-C intermediate frequency (IF) filters, attaining a 63% reduction in filter area, a 26% reduction in power dissipation, compared with existing commercial products using the same process technology and filter topology, and a yield rate of 97%. T...

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Dettagli Bibliografici
Pubblicato in:IEEE Journal of solid state circuits 38, 3 (2003).
Autore principale: Murakawa, M.
Natura: Articolo
Lingua:English
Soggetti:
440 to 470 kHz.
AI-calibrated IF filter.
Gm-C intermediate frequency filters.
Analog LSIs.
Analog circuits.
Area reduction.
Cascaded sixth-order cells.
Chip calibration.
Double-poly double-metal N-CMOS process.
Filter area.
Filter topology.
Frequency response.
Genetic algorithm.
Large-scale integration.
Optimization problems.
Power dissipation reduction.
Yield enhancement method.
Yield rate.