The Kalman–Lévy filter

The Particle Filter and Extended Kalman Filter methods for the structural system identification considering various uncertainties

Structural system identification using recursive methods has been a research direction of increasing interest in recent decades. The two prominent methods, including the Extended Kalman Filter (EKF) and the Particle Filter (PF), also known as the Sequential Monte Carlo (SMC), are advantageous in this field. In this study, the system identification of a shake table test of a 4-story steel struct...

Filter Filter Filter Class

Linux ooers a rich set of traac control functions. This document gives an overview of the design of the respective k ernel code, describes its structure, and illustrates the addition of new elements by describing a new queuing discipline.

A Cuckoo Filter Modification Inspired by Bloom Filter

Probabilistic data structures are so popular in membership queries, network applications, and so on. Bloom Filter and Cuckoo Filter are two popular space efficient models that incorporate in set membership checking part of many important protocols. They are compact representation of data that use hash functions to randomize a set of items. Being able to store more elements while keeping a reaso...

The Agglutinatiun Test with Brucella Sera Absorbed into Filter Paper

Filter Cost Function Filter

This report addresses the problem of computation of the output of the Weighted Myriad Filter. Weighted Myriad Filters form a large and important class of nonlinear lters that includes linear FIR lters, with several potential applications in robust signal processing and communications in impulsive non-Gaussian environments. Just as the weighted mean and the weighted median are optimized for the ...