We consider computationally-fast methods for estimating parameters in ARMA processes from binary time series data, obtained by thresholding the latent ARMA process. All methods involve matching estimated and expected autocorrelations of the binary series. In particular, we focus on the spectral representation of the likelihood of an ARMA process and derive a restricted form of this likelihood, ...

Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the opt...

In the GPR frequency range, electromagnetic wave attenuation is largely controlled by dielectric relaxation processes. A primary relaxation commonly occurs in the 10 – 100 MHz range for many earth materials in which the GPR signal propagates effectively. This relaxation leads to strong nonlinearity in the frequency dependent attenuation and occurs in a frequency range that is often used for gro...

Este trabalho apresenta o desenvolvimento e a valida\c{c}\~{a}o de um algoritmo computacional cuja finalidade \'{e} ajustar linhas isoladas espectro \'{o}ptico obtendo os valores para par\^{a}metros perfil Voigt ou Pseudo-Voigt. A recupera\c{c}\~{a}o destes importante estudo do emiss\~{a}o plasma produzido por laser. Os espectros testados foram bem aproximados pelas fun\c{c}\~{o}es ajustadas ro...