Insurancenewsnet.com

New Research on Risk Management from University of Hamburg Summarized (Kalman Filter Learning Algorithms and State Space Representations for Stochastic Claims Reserving)

2021 JUL 16 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- New research on insurance is the subject of a new report. According to news reporting originating from Hamburg, ...
CU Boulder News & Events

ECEA 5850 Kalman-Filter Boot Camp and State-Estimation Application

This course introduces the Kalman filter as a method that can solve problems related to estimating the hidden internal state of a dynamic system. It develops the background theoretical topics in state ...
Hackaday

Implementing A Kalman Filter In PostgreSQL To Smooth GPS Data

Usually databases are treated primarily as fairly dumb data storage systems, but they can be capable of much more. Case in ...
Embedded

Using nonlinear Kalman filtering to estimate signals

It appears that no particular approximate [nonlinear] filter is consistently better than any other, though . . . any nonlinear filter is better than a strictly linear one. 1 The Kalman filter is a ...
JSTOR Daily

The Equivalence between the Cholesky Decomposition and the Kalman Filter

This is an expository article that develops the Kalman filter from a Cholesky factorization perspective. In particular, the Kalman filter is shown to be a modification of the Cholesky factorization ...
TechRepublic

Channel Estimation for SCM-OFDM Systems by Modified Kalman Filter

In this paper, the problem of channel estimation for Superposition Coded Modulation-Orthogonal Frequency Division Multiplexing (SCM-OFDM) systems over frequency selective channels is investigated.
insideHPC

Intel MKL Speeds Up Automated Driving Workloads on the Intel Xeon Processor

The automated driving developer community typically uses Eigen*, a C++ math library, for the matrix operations required by the Extended Kalman Filter algorithm. EKF usually involves many small ...