Noise Cancellation Using QRD RLS Algorithms

Kód výsledku v 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>

Výsledek na webu

<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

—

Jazyk výsledku

angličtina

Název v původním jazyce

Noise Cancellation Using QRD RLS Algorithms

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Noise Cancellation Using QRD RLS Algorithms

Popis výsledku anglicky

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.

Druh

G_funk - Funkční vzorek

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

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

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Interní identifikační kód produktu

noise-cancellation

Číselná identifikace

—

Technické parametry

aplikace pokročilých algoritmů identifikace pro detekci ultrazvuku

Ekonomické parametry

detekce odrazu ultrazvuku od pohybujícího se objektu

Kategorie aplik. výsledku dle nákladů

—

IČO vlastníka výsledku

67985556

Název vlastníka

ÚTIA AV ČR, v.v

Stát vlastníka

CZ - Česká republika

Druh možnosti využití

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

Požadavek na licenční poplatek

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

Adresa www stránky s výsledkem

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