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FILTER SYNTHESIS USING FINE-GRAIN DATA-FLOW GRAPHS

Waqas Akram-2000-01-01
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TL;DRAbstract

This project is concerned with finding ways to synthesize hard- ware-efficient digital filters given technology and data rate constraints. The synthesis flow targets embedded systems implemented in application specific integrated circuits (ASICs). The flexibility inherent in such custom implemen- tations provides opportunities for optimization down to the bit-level. This effort attempts to construct a convenient framework for the architectural manipulation of filter designs at the bit level, in order to reduce hardware complexity while meeting fixed data-rate constraints. The objective is to take an applicative language description of an algorithm and transform it into the most hardware-efficient descriptive language representation at the bit-level. Real-time signal processing systems implemented in application-specific inte grated cir- cuits (ASICs) have certain benefits, as well as unique limitations on performance. Depending on the application, area and power consumption can be two

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This project is concerned with finding ways to synthesize hard- ware-efficient digital filters given technology and data rate constraints. The synthesis flow targets embedded systems implemented in application specific integrated circuits (ASICs). The flexibility inherent in such custom implemen- tations provides opportunities for optimization down to the bit-level. This effort attempts to construct a convenient framework for the architectural manipulation of filter designs at the bit level, in order to reduce hardware complexity while meeting fixed data-rate constraints. The objective is to take an applicative language description of an algorithm and transform it into the most hardware-efficient descriptive language representation at the bit-level. Real-time signal processing systems implemented in application-specific inte grated cir- cuits (ASICs) have certain benefits, as well as unique limitations on performance. Depending on the application, area and power consumption can be two

Keywords

Computer scienceApplication-specific integrated circuitDigital signal processingImplementationFlexibility (engineering)Design flowEmbedded systemFilter (signal processing)

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