Study of Algorithmic and Architectural Characteristics of Gaussian Particle Filters

In this paper, we analyze algorithmic and architectural characteristics of a class of particle filters known as Gaussian Particle Filters (GPFs). GPFs approximate the posterior density of the unknowns with a Gaussian distribution which limits the scope of their applications in comparison with the un...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of signal processing systems 2010-11, Vol.61 (2), p.205-218
Hauptverfasser:	Bolić, Miodrag, Athalye, Akshay, Hong, Sangjin, Djurić, Petar M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Architecture Circuits and Systems Computer Imaging Density Electrical Engineering Engineering Gaussian Hardware Image Processing and Computer Vision Pattern Recognition Pattern Recognition and Graphics Resampling Signal processing Signal,Image and Speech Processing Vision
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!