The fit of a sum of exponentials to noisy data
Journal of Computational and Applied Mathematics
Automatica (Journal of IFAC)
Statistical optimality and canonical variate analysis system identification
Signal Processing - Special issue: subspace methods, part II: system identification
Stochastic realization with exogenous inputs and “subspace-methods” identification
Signal Processing - Special issue: subspace methods, part II: system identification
Total least squares for affinely structured matrices and the noisyrealization problem
IEEE Transactions on Signal Processing
Editorial: Total Least Squares and Errors-in-variables Modeling
Computational Statistics & Data Analysis
Hi-index | 0.03 |
An overview of statistical and computational techniques used in the solution of environmental problems is presented. The applications presented involve: (1) the fitting of Horton's infiltration curve using real data from field experiments performed in Surinam; (2) linear and nonlinear rainfall-runoff modeling using real data from watersheds in Louisiana and Belgium; (3) real-time monitoring and forecasting of a network of chemical sensors using real data from Fall Creek Reservoir in Indiana; (4) forecasting of hourly water consumption in Indiana; and (5) the exponential fitting of a sum of AM and FM tones used to model a chirp signal of a Coqui frog from Puerto Rico.