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R1 SIGNAL ANALYSIS I
R2 SYSTEMS ANALYSIS I
R3 MATRIX TECHNIQUES
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algorithm aliassing amplitude analogue applied approximation assumed autocorrelation function cepstral cepstrum closed loop coefficients components computed considered continuous-time control system correlation covariance matrix crosscorrelation crosscorrelation function defined delay discrete Discrete Fourier Transform discrete-time distribution eigenvalues elements Engineering equation error example feedback Figure finite FIR filters Fourier transform frequency response gain Gaussian given impulse response input signal instant Instrumental Variable inverse Kalman filter Laplace transform least squares Lecture linear system measured method NARMAX model nonlinear systems Note Observer obtained operating oscillator output parameter estimates parameter vector peaks poles polynomial power spectrum prediction probability density function problem procedure quantity random variable Recursive Least Squares sampling interval self-tuning controller sequence shown simulation solution spectral analysis step responses stochastic surface System Identification techniques transfer function updating variance wave white noise window z-transform zero