M. Weatherspoon

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This work advances the capabilities of accurately quantifying the microwave noise temperature that exits port one of a two-port active device when port two is terminated with a complex load of known temperature. This noise temperature is of interest when characterizing and designing field-effect transistor (FET)-based cold noise sources or active cold loads(More)
Artificial neural networks (ANNs) are presented for the accurate and efficient small-signal modeling of active devices. Models are developed using measured data and are valid over ranges of parameters such as frequency, bias, and ambient temperature. Once generated, these ANN models are inserted into commercial microwave circuit simulators where they can be(More)
Hidden Markov models (HMM) have largely demonstrated their usefulness in the fields of statistics and pattern recognition, particularly for speech recognition and hand writing recognition. In the field of genetics, the same principles of statistics and probability can be applied. DNA primarily has four bases: adenine, guanine, thymine, and cytosine, which(More)
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