Abstract: A method provides modeling a DUT and generating a simulated response. The method includes receiving a first portion of a stimulus signal generated by a signal generator, a second portion of the stimulus signal being input to the DUT; receiving a response signal output by the DUT in response to a second portion of the stimulus signal; digitizing the received first portion and the received response signal; correcting the digitized signals; measuring training input series data of the digitized first portion of the stimulus signal and training output series data of the digitized response signal; and utilizing kernel adaptive filtering for extracting a device model from the training input and output series data, and for generating simulated responses of the DUT to subsequent stimulus inputs, respectively. The kernel adaptive filtering may include a kernel least mean squares algorithm, a kernel Affine projection algorithm or a recursive least squares algorithm.

Abstract: A method for operating a data processing system to compute the response of a DUT to a modulated input signal is disclosed. The method includes determining a set of parameters for a first model of the DUT from a plurality of measurements of output values from the DUT, each output value includes a measurement of a gain and phase shift provided by the DUT when the DUT is stimulated with a single tone input signal having a frequency in a frequency range determined by the modulated signal. The method also determines a second model that characterizes noise generated by the DUT at the single tone input signals. A performance parameter for an output signal that would be obtained by applying the modulated input signal to an input of the DUT, and receiving the output of the DUT is then determined from the first and second models.

Abstract: A system and method compensates distortions in transmission line measurement by obtaining a frequency response of a transmission line responsive to a test signal; approximating the frequency response as a function of a complex valued variable; and applying an analytic continuation to extend the function of the complex valued variable to a modified frequency response corresponding to a lossless frequency response, to compensate for loss in the transmission line. The modified frequency response may be further sampled at linearly spaced points in a wave number domain to compensate for dispersion of the transmission line.

Abstract: A method provides modeling a DUT and generating a simulated response. The method includes receiving a first portion of a stimulus signal generated by a signal generator, a second portion of the stimulus signal being input to the DUT; receiving a response signal output by the DUT in response to a second portion of the stimulus signal; digitizing the received first portion and the received response signal; correcting the digitized signals; measuring training input series data of the digitized first portion of the stimulus signal and training output series data of the digitized response signal; and utilizing kernel adaptive filtering for extracting a device model from the training input and output series data, and for generating simulated responses of the DUT to subsequent stimulus inputs, respectively. The kernel adaptive filtering may include a kernel least mean squares algorithm, a kernel Affine projection algorithm or a recursive least squares algorithm.