Marc-André Cantin

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Automatic word length determination of hardware data paths may require considering several error models, user specifications and hardware costs. A new automatic method for determining the word length of hardware data paths that consider these requirements is proposed and analyzed. The search-based method uses a C/C++ fixed-point simulation tool to model the(More)
Four self-organizing neural networks are compared for automatic deinterleaving of radar pulse streams in electronic warfare systems. The neural networks are the Fuzzy Adaptive Resonance Theory, Fuzzy Min-Max Clustering, Integrated Adaptive Fuzzy Clustering, and Self-Organizing Feature Mapping. Given the need for a clustering procedure that ooers both(More)
Estimating the power consumption of System on Chip as early as possible in the design life cycle is important to meet the time to market requirements. For this purpose, most research is turning toward high-level models, like TLM, to estimate power earlier. This paper presents a high-level IP oriented power estimation methodology. The methodology separates(More)
A metric for the automatic determination of word lengths required for implementing DSP algorithms is proposed. The metric is capable of handling several error models computed between the fixed-point and the floating-point simulation results to model the impact of finite word lengths on the overall accuracy. It grades all the word-length combinations and(More)
This paper presents a systematic method to validate implementations of video processing algorithms. This is useful when translating algorithms implementations from a floating-point to fixed-point precision. The method takes advantage of an automatic word length determination tool and an Objective Image Quality Metric (OIQM) to implement a performance driven(More)