Respiration rate monitoring using ultra-wideband (UWB) radar is preferred because it provides contactless measurement without restricting the person’s privacy. This study considers a novel non-contact-based solution single-input multiple-output (SIMO) UWB impulse radar. In proposed system, collected data are converted to several narrow-band signals generalized Goertzel algorithm (GGA), which us...

With appropriate modi cations, the Ho man{Ribak algorithm that constructs constrained realizations of Gaussian random elds having the correct ensemble properties can also be used to construct constrained realizations of those non-Gaussian random elds that are obtained by transformations of an underlying Gaussian eld. For example, constrained realizations of lognormal, generalized Rayleigh, and ...

The Kalman filter is the optimal minimum-variance state estimator for linear dynamic systems with Gaussian noise. In addition, the Kalman filter is the optimal linear state estimator for linear dynamic systems with non-Gaussian noise. For nonlinear systems various modifications of the Kalman filter (e.g., the extended Kalman filter, the unscented Kalman filter, and the particle filter) have bee...

This paper presents a new spatial filtering technique for statistical mapping of neuronal sources by using magnetoencephalography data. In addition to the unit-gain constraint and the minimum-variance criterion that can reconstruct the activation magnitude of the targeted source while suppressing the contribution from other sources, the proposed technique exploits a maximum-discrimination crite...