The structure multivector is a new approach for analyzing the local properties of a two-dimensional signal (e.g. images). It combines the classical concepts of the structure tensor and the analytic signal in a new way. This has been made possible by using a representation in the algebra of quaternions. The resulting method is linear and of low complexity. The filter-response includes local phas...

one of the main goals of interpretation of gravity data is to detect location and edges of the anomalies. edge detection of gravity anomalies is carried out by different methods. terracing of the data is one of the approaches that help the interpreter to achieve appropriate results of edge detection. this goal becomes a complex task when the gravity anomalies have smooth borders due to gradual ...

This paper presents a class of Infinite Impulse Response (IIR) filters which have approximately Linear Phase response in their pass bands. The new filters provide better magnitude response and worse phase linearity for a given order and transition bandwidth than previous designs. They can then be used as an alternative to those designs when we want some degree of phase linearity but the magnitu...

We study a distributed Kalman filtering problem in which number of nodes cooperate without central coordination to estimate common state based on local measurements and data received from neighbors. This is typically done by running filter at each node using information obtained through some procedure for fusing across the network. A with existing methods that outcome filters time step depends ...