We present a General Linear Camera (GLC) model that unifies many previous camera models into a single representation. The GLC model is capable of describing all perspective (pinhole), orthographic, and many multiperspective (including pushbroom and two-slit) cameras, as well as epipolar plane images. It also includes three new and previously unexplored multiperspective linear cameras. Our GLC m...

The general linear model (glm) provides a general framework for a large set of models whose common goal is to explain or predict a quantitative dependent variable by a set of independent variables which can be categorical of quantitative. The glm encompasses techniques such as Student’s t test, simple and multiple linear regression, analysis of variance, and covariance analysis. The glm is adeq...

In this paper, we design an attractivealgorithm aiming to classify moving targets includinghuman, animal, vehicle and drone, at groundsurveillance radar systems. The non-stationary reflectedsignal of the targets is represented with a novelmathematical framework based on behavior of thesignal components in reality. We further propose usingthe generalized linear chirp transform for the analysisst...

Objetivo: Realizar un estudio comparativo entre las soluciones numéricas de sistemas ecuaciones diferenciales ordinarias tipo Stiff obtenidas con el método General Linear Method (GLM) y dos solvers del software matemático MATLAB como ode45 ode15s. Metodología: Para se escogieron problemas la química HIRES OREGO, los cuales modelan reacciones cinética química. Inicialmente cada problema fue solu...

Abstract In the present paper, a parallel-in-time discretization of linear systems Volterra equations type $$\begin{aligned} \bar{u}(t) = \bar{u}_0 + \int _0^t \textbf{K}(t-s) \bar{u}(s)\,\text{ d }s \bar{f}(t),\qquad 0&lt;t\le T, \end{aligned}$$ u <mml:...