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Approximate ML Estimation of the Period and Spectral Content of Multiharmonic Signals Without User Interaction., , and . IEEE Trans. Instrumentation and Measurement, 61 (11): 2953-2959 (2012)Detection and Quantification of the Influence of Time Variation in Closed-Loop Frequency-Response-Function Measurements., , and . IEEE Trans. Instrumentation and Measurement, 62 (4): 853-863 (2013)FRF Measurements Subject to Missing Data: Quantification of Noise, Nonlinear Distortion, and Time-Varying Effects., , and . IEEE Trans. Instrumentation and Measurement, 68 (10): 4175-4187 (2019)Detection and quantification of dynamic dependence in linear parameter-varying differential equations., , and . CDC, page 747-752. IEEE, (2015)Nonparametric time-variant frequency response function estimates using arbitrary excitations., , and . Autom., (2015)Frequency domain weighted nonlinear least squares estimation of parameter-varying differential equations., , , and . Autom., (2017)Frequency domain parametric estimation of fractional order impedance models for Li-ion batteries., , , , , and . CoRR, (2023)Estimation of Linear Parameter-Varying affine state space models using synchronized periodic input and scheduling signals., , and . ACC, page 3754-3759. IEEE, (2014)Locally Periodic Kernel-Based Regression to Identify Time-Varying Ankle Impedance During Locomotion: a Simulation Study*., , and . EMBC, page 4835-4838. IEEE, (2020)Multi-disciplinary dialogue and collaboration are the key Future Trends in I&M.. IEEE Instrum. Meas. Mag., 19 (4): 36-37 (2016)