Kalman filter

The effect of new housing supply in structural models: a forecasting performance evaluation

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Sunday, February 4, 2024
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    WIMI Hologram Academy: Two New Techniques for Phase Disentanglement

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    Thursday, September 22, 2022

    HONG KONG, Sept. 22, 2022 (GLOBE NEWSWIRE) -- WIMI Hologram Academy, working in partnership with the Holographic Science Innovation Center, has written a new technical article describing their research on Two New Techniques for Phase Disentanglement.

    Key Points: 
    • HONG KONG, Sept. 22, 2022 (GLOBE NEWSWIRE) -- WIMI Hologram Academy, working in partnership with the Holographic Science Innovation Center, has written a new technical article describing their research on Two New Techniques for Phase Disentanglement.
    • Scientists from WIMI Hologram Academy of WIMI Hologram Cloud Inc.(NASDAQ: WIMI) focus on the development of phase unwinding technologies used in InSAR, focusing on two of the most advanced phase unwinding technologies.
    • Later, advanced single-baseline winding methods of minimum cost flow (MCF), statistical cost flow (SNAPHU), PUMA, and large-scale phase unwinding techniques appeared.
    • They proposed three improved two-stage planning methods: multi-baseline Extended Kalman Filter (EKF) phase unwinding algorithm, multi-Cubage volume Kalman Filter (CKF) phase unwinding algorithm, and multi-baseline tasteless information filtering phase unwinding algorithm.

    Hyperion Releases the Second-Generation Derivatives to Benefit from the Global Economic Uncertainties

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    Friday, November 12, 2021

    Hyperion's Easy Smart Leverage Product

    Key Points: 
    • Hyperion's Easy Smart Leverage Product, with competitive target price, innovative and user-friendly features, and high returns, is due to the masterpiece of Hyperion team.
    • Hyperion is a platform that provides a new type of smart leveraged financial derivatives in crypto market.
    • Hyperion aims to enable financial technology to create value in the digital asset world and to drive product innovation based on the market demand.
    • Hyperion is committed to being the world-leading company in the innovation of digital asset's financial products.

    $3.77 Billion Simultaneous Localization and Mapping Technology Market - Global Industry Analysis and Growth Forecast to 2030

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    Wednesday, November 25, 2020

    DUBLIN, Nov. 25, 2020 /PRNewswire/ -- The "Simultaneous Localization and Mapping Technology Market Research Report: By Offering, Type, Application, End User - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

    Key Points: 
    • DUBLIN, Nov. 25, 2020 /PRNewswire/ -- The "Simultaneous Localization and Mapping Technology Market Research Report: By Offering, Type, Application, End User - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.
    • The global simultaneous localization and mapping (SLAM) technology market is predicted to progress at a CAGR of 38.3% from 2020 to 2030 and attain a valuation of $3,775.3 million by 2030.
    • On the basis of type, the SLAM technology market is categorized into graph-based, fast, extended Kalman Filter (EKF), and others.
    • The AR/VR category under the application segmentation of the SLAM technology market is expected to register the highest CAGR in the market during 2020 - 2030.

    Global Simultaneous Localization and Mapping Technology Market Research Report 2020-2030 - ResearchAndMarkets.com

    Retrieved on: 
    Wednesday, November 18, 2020

    The "Simultaneous Localization and Mapping Technology Market Research Report: By Offering, Type, Application, End User - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.

    Key Points: 
    • The "Simultaneous Localization and Mapping Technology Market Research Report: By Offering, Type, Application, End User - Global Industry Analysis and Growth Forecast to 2030" report has been added to ResearchAndMarkets.com's offering.
    • The global simultaneous localization and mapping (SLAM) technology market is predicted to progress at a CAGR of 38.3% from 2020 to 2030 and attain a valuation of $3,775.3 million by 2030.
    • On the basis of type, the SLAM technology market is categorized into graph-based, fast, extended Kalman Filter (EKF), and others.
    • The AR/VR category under the application segmentation of the SLAM technology market is expected to register the highest CAGR in the market during 2020 - 2030.

    Gladiator Technologies Introduces High Performance Integrated GNSS-Inertial Navigation Systems (INS/GPS) that Fit in the Palm of Your Hand.

    Retrieved on: 
    Wednesday, April 1, 2020

    The feature set was carefully selected to suit several PNT applications including flight control, navigation as well as stabilization for imaging, platforms and antennas.

    Key Points: 
    • The feature set was carefully selected to suit several PNT applications including flight control, navigation as well as stabilization for imaging, platforms and antennas.
    • The High-Performance LandMark60 INS/GPS and compact LandMark005 INS/GPS both feature advanced sensor fusion technology, combining GPS position data with Gladiator Technologies' low-noise, high output inertial sensors as well as barometric pressure and magnetometers.
    • Both products feature Gladiator Technologies' proprietary VELOX processing technology and Extended Kalman Filter (EKF) enabling precision position information during short-term GPS outages.
    • Product details are available on the Gladiator Technologies website, https://gladiatortechnologies.com/
      Gladiator Technologies designs and manufactures low noise, high speed MEMS Inertial Sensors and Systems.

    Worcester Polytechnic Institute Researcher Uses Math to Help Army Protect Soldiers from Chemical Attack

    Retrieved on: 
    Thursday, January 30, 2020

    "I can take algorithms and good theory and apply them to new problems, like making a better sensor.

    Key Points: 
    • "I can take algorithms and good theory and apply them to new problems, like making a better sensor.
    • To improve the speed and accuracy of the device's signal processing, Paffenroth combined new and old math techniques.
    • The WPI researcher combined the "noise dampening" Kalman filter with the neural network, creating a new algorithm dubbed the Autoencoder Kalman Filter.
    • It's the toolset that combines data with machine learning, computation, and old and new math to solve real-world problems.