Maximum Likelihood Identification of a Continuous-Time Oscillator Utilizing Sampled Data
Maximum Likelihood Identification of a Continuous-Time Oscillator Utilizing Sampled Data is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include computer science, Spectral density estimation, identification, algorithm, system identification, likelihood function, statistics, maxima, sampling, biological function, mathematics, maximum likelihood estimation, and analog electronics. The authors analyze the equivalent sampled-data model for two cases i) instantaneous sampling and ii) integrated sampling.