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— In this paper we present a scalable hardware architecture to implement large-scale convolutional neural networks and state-of-the-art multi-layered artificial vision systems. This system is fully digital and is a modular vision engine with the goal of performing real-time detection, recognition and segmentation of mega-pixel images. We present a(More)
— We present a scalable hardware architecture to implement large-scale bio-inspired synthetic vision systems. The system is a fully digital implementation of a modular vision engine that can perform real-time detection, recognition and segmentation of mega-pixel images. We present performance comparisons between software versions of the vision system(More)
A method for a smart selection and sequencing of unity capacitors in a multibit digital-to-analog converter (DAC) that improves the linearity is proposed. The approach, suitable for the DAC nonlinearity correction in Sigma-Delta modulators, obtains better results than dynamic element matching. The key of the proposed technique is an off-line(More)
In this paper, a tool generated in MATLAB environment for automatic modeling and architecture synthesis of sigma-delta (SD) modulators is described. The tool is capable of generating the parametric signal and noise transfer functions (STF and NTF) of an SD modulator of any order. After generating the transfer functions, it optimizes both the STF and the NTF(More)