Automatic Autocorrelation and Spectral Analysis
Publication year: 2006
ISBN: 978-1-84628-329-1
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It takes advantage of greater computing power and robust algorithms to produce enough candidate models to be sure of providing a suitable candidate for given data. Improved order selection quality guarantees that one of the best (and often the best) will be selected automatically. The data themselves suggest their best representation. Should the analyst wish to intervene, alternatives can be provided. Written for graduate signal processing students and for researchers and engineers using time series analysis for practical applications ranging from breakdown prevention in heavy machinery to measuring lung noise for medical diagnosis.
Subject: Engineering, Analysis, Augmented Reality, MATLAB, Signal, algorithm, algorithms, information, mathematics, quality
