Inverse filtering is applied to seismic data to remove the effect of the wavelet and to obtain an estimate of the reflectivity series. In many cases the wavelet is not known, and only an estimate of its autocorrelation ...

A scene-based algorithm for nonuniformity correction (NUC) in focal-plane arrays (FPA) detectors has been developed. The NUC technique is based in the inverse covariance form (ICF) of the Kalman filter. The gain and the ...

Compressed sensing, a method which relies on sparsity to reconstruct signals with relatively few measurements, provides a new approach to processing radar signals that is ideally suited to detailed imaging and identification ...

This thesis describes the guidelines, experimental design, and initial results for stationary and dynamic aerodynamic assessments of vocal hyperfunction. This work aims to improve the understanding and clinical assessment ...

A correction procedure based on digital signal processing theory is proposed to smooth the numeric oscillations in electromagnetic transient simulation results from transmission line modeling based on an equivalent ...

A correction procedure based on digital signal processing theory is proposed to smooth the numeric oscillations in electromagnetic transient simulation results from transmission line modeling based on an equivalent ...

Accurate estimation of the glottal source from a voiced sound is a difficult blind separation problem in speech signal processing. In this work, state-space methods are investigated to enhance the joint estimation of the ...

We made a study in the backyard of an agrochemical plant using a small-loop, frequency-domain electromagnetic induction (EMI) system. Such systems are very sensitive to conductive structures buried at shallow depths. ...