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Analog Gaussian Noise Generator

詳細技術說明: Researchers at McGill University have designed a robust programmable Gaussian noise generator. Unlike conventional methods, this design allows the user the ability to set the distribution characteristics; frequency band, mean, and standard deviation. The generated noise signal accurately models a real Gaussian signal, even at high sigma values; hence, making it a very effective and predictable dithering signal suitable to mixed-signal/digital Automated Test Equipment (ATE).

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