About: Functional sampling density design for particle filters     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • Článek se zabývá návrhem vzorkovací hustoty pro simulační filtry. Je navržen nový funkcionální přístup, který vychází z myšlenky simulačního filtru s přídavnou proměnnou, který do návrhu vzorkovací hustoty zavádí koncepci primárních vah. Oproti simulačnímu filtru s přídavnou proměnnou, který uvažuje primární váhy na základě hustoty pravděpodobnosti měření a prediktivního bodového odhadu, funkcionální přístup vychází z porovnání hustoty pravděpodobnosti měření a prediktivní hustoty prostřednictvím vhodné metriky. Jsou diskutovány a porovnávány různé volby metriky a váhové funkce. Simulační filtr s funkcionální vzorkovací hustotou produkuje odhady, které jsou blíže k exaktní filtrační hustotě ve smyslu bodového odhadu. (cs)
  • Sampling density design for particle filters is treated. A new functional approach is proposed and discussed. The approach follows the idea of the auxiliary particle filter which introduces the concept of primary weights into sampling density design. In contrast to the auxiliary particle filter approach, which utilizes the primary weights given by a measurement probability density and a predictive point estimate, the functional approach is based on comparison of the measurement and predictive probability density functions through a suitable metric. Different choices of the metric and weight function are discussed and used for the comparison. The particle filter with the sampling density given by the functional approach provides estimates that are closer to exact filtering probability density function in terms of point estimates.
  • Sampling density design for particle filters is treated. A new functional approach is proposed and discussed. The approach follows the idea of the auxiliary particle filter which introduces the concept of primary weights into sampling density design. In contrast to the auxiliary particle filter approach, which utilizes the primary weights given by a measurement probability density and a predictive point estimate, the functional approach is based on comparison of the measurement and predictive probability density functions through a suitable metric. Different choices of the metric and weight function are discussed and used for the comparison. The particle filter with the sampling density given by the functional approach provides estimates that are closer to exact filtering probability density function in terms of point estimates. (en)
Title
  • Functional sampling density design for particle filters
  • Návrh funkcionální vzorkovací hustoty pro simulační filtry (cs)
  • Functional sampling density design for particle filters (en)
skos:prefLabel
  • Functional sampling density design for particle filters
  • Návrh funkcionální vzorkovací hustoty pro simulační filtry (cs)
  • Functional sampling density design for particle filters (en)
skos:notation
  • RIV/49777513:23520/08:00500503!RIV09-MSM-23520___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M0572), P(GA102/08/0442)
http://linked.open...iv/cisloPeriodika
  • 11
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 368693
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/08:00500503
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Estimation; Nonlinear filtering; Particle filters; Sampling density design; Stochastic systems (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [F917C6B9B2AF]
http://linked.open...i/riv/nazevZdroje
  • Signal Processing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2008
http://linked.open...iv/tvurceVysledku
  • Straka, Ondřej
  • Šimandl, Miroslav
http://linked.open...ain/vavai/riv/wos
  • 000258813800018
issn
  • 0165-1684
number of pages
http://localhost/t...ganizacniJednotka
  • 23520
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software