singular value decomposition
SEISMIC SIGNAL ANALYSIS USING MINIMUM PHASE AND SINGULAR VALUE DECOMPOSITION METHODS. APPLICATION TO GROUNDROLL ATTENUATION
... mode decomposition (EMD) and singular value decomposition to attenuate the groundroll ...minimum-delay decomposition method to get a dynamic reflectivity ...phase decomposition ...
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Human Vision Inspired Based Image Illumination Enhancement by Using Local Singular Value Decomposition and Discrete Wavelet Transform
... local singular value decomposition (SVD) and discrete wavelet transforms (DWT), inspired from the fact that human visual system equalizes a scene by disregarding the extreme illuminated ...the ...
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GROUND ROLL ATTENUATION USING ADAPTIVE SINGULAR VALUE DECOMPOSITION FILTERING IN THE f-k DOMA
... Singular value decomposition (SVD) is a technique based on coherence that provides both signal enhancement and noise suppression. This method has been implemented for various applications in seismic ...
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ADAPTIVE SINGULAR VALUE DECOMPOSITION FILTERING TO ENHANCE REFLECTORS AND GEOLOGICAL STRUCTURES IN 3D SEISMIC DATA
... the singular value decomposition (SVD) to improve the identification of reflectors and geological structures in 3D stacked seismic ...the decomposition of the seismic data matrix in ...
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Improved Iterative Coordinated Beamforming Based on Singular Value Decomposition for Multiuser Mimo Systems With Limited Feedforward
... on singular value decomposition is an iterative method to jointly optimize the transmit beamformers and receive combiners, to achieve high levels of sum rates in the downlink of multiuser systems, by ...
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Analysis of Mouse Periodic Gene Expression Data Based on Singular Value Decomposition and Autoregressive Modeling
... combining singular value decomposition (SVD), singular spectrum analysis (SSA) and autoregressive (AR) model&based spectral ...the singular values of time series data, trend ...
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Key words : Singular value decomposition, weights, missing data, genotype-by-
... Abstract: We propose a new methodology for multiple imputation when faced with missing data in multi-environmental trials with genotype-by-environment interaction, based on the imputation system developed by Krzanowski ...
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A DISCRETE WAVELET TRANSFORM – SINGULAR VALUE DECOMPOSITION SYSTEM FOR IMAGE CODING
... A hybrid DCT-SVD (HDCTSVD) image coding algorithm was developed earlier by Dapena and Ahalt [1]. They showed that the hybrid technique performs well on low spatially correlated images. In this paper, another hybrid ...
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Singular value decomposition of the radial distribution function for hard sphere and square well potentials.
... We compute the singular value decomposition of the radial distribution function g(r) for hard sphere, and square well solutions. We find that g(r) decomposes into a small set of basis vectors ...
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NOISE ATTENUATION IN SEISMIC REFLECTION DATA COMBINING EMPIRICAL MODE DECOMPOSITION AND SVD FILTERING
... Mode Decomposition (EMD) and Singular Value Decomposition (SVD) in order to mitigate some types of noise in seismic reflection and create alternatives to interpretation based on different ...
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Uso da álgebra linear para análise de similaridades e extração de padrões em sequências protéicas
... Abstract: The dominant methods to search for relevant patterns in protein sequences are based on character-by- character matching, performed by software known as BLAST. In this paper, sequences are recoded as p- peptide ...
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Nature of protein family signatures: insights from singular value analysis of position-specific scoring matrices.
... apply singular value decomposition to a set of PSSMs and examine the properties of dominant right and left singular ...right singular vectors were correlated with various amino acid ...
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A Proposed Efficient Architecture for OFDM-MIMO Systems Using SVD
... Abstract- This paper presents a technique for Antenna beam forming in high data rate OFDM-MIMO systems. The technique makes use of the Singular Value Decomposition (SVD) algorithm for matrix ...
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IMPUTAÇÃO MÚLTIPLA LIVRE DE DISTRIBUIÇÃO EM MATRIZ DE INTERAÇÃO POR MEIO DE DECOMPOSIÇÃO POR VALOR SINGULAR
... ABSTRACT: Some techniques of multivariate statistical analysis can only be conducted on a complete data matrix, but the process of data collection often misses some elements. Imputation is a technique by which the ...
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Efficient synchronization of one-dimensional chaotic quadratic maps by different couling terms
... the singular value decomposition it is possible to suppress the exponential divergence of the dynamics of the synchronization error and to guarantee linear stability of the synchronized state in all ...
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MammoSys: A content-based image retrieval system using breast density patterns
... The performance of 2DPCA technique was compared to the ones using principal component analysis (PCA) and singular value decomposition (SVD) for breast density characteriza- tion, as thes[r] ...
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An algorithm for positive solution of boundary value problems of nonlinear fractional differential equations by Adomian decomposition method
... BVPs-Adomian decomposition method (ADM) [12], a shifted Legendre spectral method [20], homotopy analysis method [7], gener- alized differential transform method [18], a Chebyshev spectral method [4], Haar wavelet ...
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Sensitivity analysis and parameter estimation for distributed hydrological modeling: potential of variational methods
... However, using the rate of change along the vectors of the standard basis (components of the gradient), the parameters cannot be ranked because the nominal values might be char- acterised by different units and therefore ...
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