Positive FIR System Identification using Maximum Entropy Prior
Positive FIR System Identification using Maximum Entropy Prior is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include Structural health monitoring, impulse response, computer science, Gaussian, principle of maximum entropy, system identification, covariance, statistics, fault detection and isolation, Finite Impulse Response filter, applied mathematics, mathematics, Gaussian process, algorithm, and Bayesian probability. The paper considers the positive FIR model identification problem using non Gaussian prior where a positive model denotes a system with the nonnegative impulse response.