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    Real Time Monitoring for Model Based Design of Power Converters

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    Controllers for power converters have moved to the digital domain and the operating frequency has greatly increased making the process of debugging, tuning and experimenting with complex features more difficult. More powerful testbenches based on easily accessible System On Chip (SOC) devices can be used. This paper presents and compares two approaches to the problem. The first is a dedicated approach in which all the components of the system have been developed separately, the second one is based on the use of an integrated commercial enviroment such as Matlab & Simulink with ad hoc adaptation for real time monitoring and controller data acquisition

    Mixing Neural Networks and Contextual Analysis in a High-Speed Handwriting Recognizer

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    This article presents HACRE, a system for recognizing handwritten amounts on checks, which integrates neural networkalgorithmswith context analysis techniques. In particular, HACRE consists of two major subsystems which are strictly interacting: the former is based on an ensemble of neural networks and carries out a kind of pre-recognition of the individual characters, which is by necessity only approximate; the latter is based on a context analysis module which carries out a lexical analysis of the recognized characters, based on a mutual correlation between the legal and courtesy amounts, which must match exactly. This analysis produces hypotheses which correct the errors made by the neural networks. The proposed system is implemented on an ad-hoc VLSI chip containing an array of dedicated processors tailored to the application, and tightly interconnected to a host personal computer

    Limit Cycle-Free Digitally Controlled DC-DC Converters based on Dyadic Digital PWM

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    Quantization-induced limit cycle oscillations (LCOs) in digitally controlled DC-DC converters are addressed in this paper. The novel Dyadic Digital PWM (DDPWM) is proposed to increase the effective pulse-width-modulator (PWM) resolution, as required for LCO-free operation, at low cost, without sacrificing DC accuracy and with no detrimental effects on the ripple voltage. Experimental results on a synchronous buck validate the approach highlighting effective LCOs suppression and DC accuracy enhancement at 5X reduced peak output voltage ripple and up to 16dB lower-frequency harmonic component reduction compared to thermometric dithering for the same resolution increase
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