نتایج جستجو برای: Multi Resolution Analysis (MRA)

تعداد نتایج: 3385738  

Journal: :journal of ai and data mining 2013
mehdi hajian asghar akbari foroud

the aim of this paper is to extend a hybrid protection plan for power transformer (pt) based on mra-ksir-ssvm. this paper offers a new scheme for protection of power transformers to distinguish internal faults from inrush currents. some significant characteristics of differential currents in the real pt operating circumstances are extracted. in this paper, multi resolution analysis (mra) is use...

1999
Chun-Ping Chan Yiu Wing Wong Tan Lee Pak-Chung Ching

This paper describes a novel approach of using multi-resolution analysis (MRA) for automatic speech recognition. Twodimensional MRA is applied to the short-time log spectrum of speech signal to extract the slowly varying spectral envelope that contains the most important articulatory and phonetic information. After passing through a standard cepstral analysis process, the MRA features are used ...

2009
F. Bagarello

In this paper we use the equivalence result originally proved by the author which relates a multi-resolution analysis (MRA) of L2(R) and an orthonormal set of single electron wave-functions in the lowest Landau level, to build up a procedure which produces, starting with a certain square-integrable function, a MRA of L2(R). AMS Subject Classifications (200): 42A16, 42C40, 81V70

Recognition and classification of Power Quality Distorted Signals (PQDSs) in power systems is an essential duty. One of the noteworthy issues in Power Quality Analysis (PQA) is identification of distorted signals using an efficient scheme. This paper recommends a Time–Frequency Analysis (TFA), for extracting features, so-called "hybrid approach", using incorporation of Multi Resolution Analysis...

2006
L. Alparone F. Nencini

This paper presents a novel image fusion method, suitable for pan-sharpening of multispectral (MS) bands, based on multi-resolution analysis (MRA). The low-resolution MS bands are sharpened by injecting high-pass directional details extracted from the high-resolution panchromatic (Pan) image by means of the curvelet transform, which is a non-separable MRA, whose basis function are directional e...

A. Ketabi, M. Khoshkholgh,

In this paper power system model is represented in a new domain that relates to Multi-Resolution Analysis (MRA) space. By developing mathematical model of elements in this space using Galerkin method, a new alternative method for power system simulation in nonsinusoidal and periodic conditions is developed. The mathematical formulation and characteristics of new proposed space is expressed. Als...

2011
CONSTANTIN FILOTE CALIN CIUFUDEAN ANA MARIA COZGAREA

It is well-known the fact that the frequency-domain approach obtained by Fourier transforms (FT) can provide amplitude-frequency spectrum while losing time-related information. In non-stationary regime, some of power electronics equipment connected to grid requires time related information, which cannot be provided by FT. Using discrete wavelet transform (DWT), we can preserve the information c...

2013
Kohei Arai

Abstract—Method for object motion characteristic estimation based on wavelet Multi-Resolution Analysis: MRA is proposed. With moving pictures, the motion characteristics, direction of translation, roll/pitch/yaw rotations can be estimated by MRA with an appropriate support length of the base function of wavelet. Through simulation study, method for determination of the appropriate support lengt...

Homayouni, Saeid, Farhadiani, Ramin , Safari , Abdolreza ,

Speckle is a granular noise-like phenomenon which appears in Synthetic Aperture Radar (SAR) images due to coherent properties of SAR systems. The presence of speckle complicates both human and automatic analysis of SAR images. As a result, speckle reduction is an important preprocessing step for many SAR remote sensing applications. Speckle reduction can be made through multi-looking during the...

2006
Omar Mohd. Rijal Norliza Mohd. Noor Amran Hussin Ong Ee Ling

Problems associated with the detection of diseases in their early stage are well known when using chest radiograph images. A graphical method involving wavelet coefficients as the feature vector (WFV) has been proposed for the detection and discrimination of Mycobacterium Tuberculosis (MTB) and lung cancer (LC). In a pilot study confirmed cases showing no complications (for example a section of...

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