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Noise Cancellation Using QRD RLS Algorithms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00500079" target="_blank" >RIV/67985556:_____/18:00500079 - isvavai.cz</a>

  • Result on the web

    <a href="http://sp.utia.cz/index.php?ids=results&id=noise-cancellation" target="_blank" >http://sp.utia.cz/index.php?ids=results&id=noise-cancellation</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Noise Cancellation Using QRD RLS Algorithms

  • Original language description

    This Application Note aims to simulate a noise cancellation problem with MATLAB tools. This is purposed for pre-processing process for final gesture recognition application. It also shows advantages and disadvantages of an approach used for a noise cancellation. In applications for gesture recognition the signals can reflect and be detected not only from a desired source (a hand), but from the environment as well, which creates undesired noise and hardens the process of precise gesture identification. Therefore, it is essential to eliminate the signals, which come from other static sources than a hand. For these purposes echo cancellation methods can be used. Echo cancellation is widely and successfully applied in telephony in a way of preventing echo from being created or removing it after it is already present. We will assume that a hand will appear just for a short time period and the additional reflections will act as an additional short period “disturbance”. The echo cancellation in this specific case will be based on QRD algorithm with double precision arithmetic and exponential forgetting. The QRD algorithm is also called as an information filter without square root operations. It is based on QRD decomposition of the input/output information matrix. The recursively updated QRD factorization of the information matrixnhelps to avoid the problem with loss of positive definiteness of the information matrix due to rounding errors and, thus, provides a numerically stable solution. The exponential forgetting is used instead of directional forgetting to keep the perspective of reduction of the computation time by applying the QRD version of the Lattice algorithm. QRD Lattice works only with the exponential forgetting with a constant exponential forgetting factor.

  • Czech name

  • Czech description

Classification

  • Type

    G<sub>funk</sub> - Functional sample

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

    <a href="/en/project/8A17006" target="_blank" >8A17006: (Ultra)Sound Interfaces and Low Energy iNtegrated SEnsors</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    noise-cancellation

  • Numerical identification

  • Technical parameters

    aplikace pokročilých algoritmů identifikace pro detekci ultrazvuku

  • Economical parameters

    detekce odrazu ultrazvuku od pohybujícího se objektu

  • Application category by cost

  • Owner IČO

    67985556

  • Owner name

    ÚTIA AV ČR, v.v

  • Owner country

    CZ - CZECH REPUBLIC

  • Usage type

    P - Využití výsledku jiným subjektem je v některých případech možné bez nabytí licence

  • Licence fee requirement

    Z - Poskytovatel licence na výsledek nepožaduje v některých případech licenční poplatek

  • Web page

    http://sp.utia.cz/index.php?ids=results&id=noise-cancellation