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Subspace method

Improve the Active Subspace Method by Partitioning the Parameter Space

Improve the Active Subspace Method by Partitioning the Parameter Space

... similar method and provided the theoretical foundation for gradient-based dimensionality re- duction and subspace approximation by constructing and decomposing an uncentred gradient covariance ...the ...

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Application of the invariant subspace method in conjunction with the fractional Sumudu’s transform to a nonlinear conformable time-fractional dispersive equation of the fifth order

Application of the invariant subspace method in conjunction with the fractional Sumudu’s transform to a nonlinear conformable time-fractional dispersive equation of the fifth order

... ant subspace method (ISM) in conjunction with the fractional Sumudu’s transform (FST) in the conformable context is formally adopted to deal with a nonlinear con- formable time-fractional dispersive ...

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A Novel Random Subspace Method for Online Writeprint Identification

A Novel Random Subspace Method for Online Writeprint Identification

... PCA+LDA subspace (the subspace is transformed by two-stage PCA+LDA) using different number of largest eigenvectors and different value of regularization ...PCA subspace and the eigenvectors in the ...

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The Feature Subspace Method for SMT System Combination

The Feature Subspace Method for SMT System Combination

... Feature Subspace method for the con- struction of an ensemble of machine translation systems based on a baseline SMT model which can be formulated as a standard linear ...our method can bring ...

9

Review on Speech Enhancement using
Signal Subspace method

Review on Speech Enhancement using Signal Subspace method

... basic method for speech enhancement is Spectral Subtraction approach ...simple method and easy to ...Signal Subspace method ...subtraction method is a well-known single channel noise ...

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Integrated Phoneme Subspace Method for Speech Feature Extraction

Integrated Phoneme Subspace Method for Speech Feature Extraction

... 2.2. Phoneme Subspaces Using PCA. To extract phonemic information from speech signals, we use the subspace method with Principal Component Analysis (PCA). PCA is defined as an orthogonal linear ...

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Random subspace method for aource camera identification

Random subspace method for aource camera identification

... This method can significantly improve several existing SPN extraction methods in the literature and achieve the state-of- the-art Receiver Operating Characteristic (ROC) curve perfor- ...Random Subspace ...

6

Covariate invariant gait recognition using random subspace method and its extensions

Covariate invariant gait recognition using random subspace method and its extensions

... our method on the TUM-GAID dataset suggest the effectiveness of multimodal-RSM for tack- ling the most challenging elapsed time covariate, which also includes the changes in shoe, carrying status, clothing, ...

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Cumulant-Based Coherent Signal Subspace Method for Bearing and Range Estimation

Cumulant-Based Coherent Signal Subspace Method for Bearing and Range Estimation

... new method for simultaneous range and bearing estimation for buried objects in the presence of an unknown Gaussian noise is ...This method uses the MUSIC algorithm with noise subspace estimated by ...

9

Security  Analysis  of  a  Dynamic  Threshold  Secret  Sharing  Scheme  Using  Linear  Subspace  Method

Security Analysis of a Dynamic Threshold Secret Sharing Scheme Using Linear Subspace Method

... Based on the result of theorem 3, the system (33) is always solvable for every m t + 1. Therefore, a non- shareholder can gahter t + 1 released tokens and construct the system of linear equations (33) and explore for a ...

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An Advance Subspace Method For Implementing Palm Print Recognition

An Advance Subspace Method For Implementing Palm Print Recognition

... [14]. Subspace-based approaches utilize numerous techniques such as principle component analysis (PCA) [16], Subspace-based approaches do not make use of any prior knowledge of palm ...a method based ...

5

High Performance Iterative Solver for Linear System using Multi GPU

High Performance Iterative Solver for Linear System using Multi GPU

... Krylov subspace method on multi Graphics Processing Unit (GPU) is numerically ...element method with an edge element is adopted for the ...gradient method on multi GPU demonstrated significant ...

5

SVD MPE: An SVD Based Vector Extrapolation Method of Polynomial Type

SVD MPE: An SVD Based Vector Extrapolation Method of Polynomial Type

... type method, which is based on the singular value decompo- sition (SVD), as well as some ideas that lead to ...new method by ...new method is described in the next ...this method is a Krylov ...

20

Exact solutions of a linear fractional partial differential equation via characteristics method

Exact solutions of a linear fractional partial differential equation via characteristics method

... group method, invariant subspace method and numerical methods, [1, 2, 3, ...the method of characteristics is an efficient and practical method for solving linear fractional differential ...

7

A Robust MUSIC Based Scheme for Interference Location in Satellite Systems with Multibeam Antennas

A Robust MUSIC Based Scheme for Interference Location in Satellite Systems with Multibeam Antennas

... This paper investigates single satellite interference location methods for communication satellite in geostationary and non- geostationary orbits. A MUSIC based subspace method is pro- posed for the ...

6

Angle of arrival estimation for broadband signals : a comparison

Angle of arrival estimation for broadband signals : a comparison

... Three broadband angle of arrival estimation algorithms have been reviewed and analysed, including a parameterised spa- tial covariance matrix approach, which by definition can only resolve the strongest source, an ...

6

Determining and Exploring 3Dimensional Data using Value Decomposition

Determining and Exploring 3Dimensional Data using Value Decomposition

... We identify the need to mine actionable data through subspace clustering , which are clusters of objects that suggest profits or benefits to users. The users are allowed to incorporate their domain knowledge by ...

5

Application of Array Processing Techniques in Multibaseline InSAR
 for High-Resolution Dem Reconstruction

Application of Array Processing Techniques in Multibaseline InSAR for High-Resolution Dem Reconstruction

... Abstract—This work is concerned with generating the digital elevation models (DEMs) from the SAR images of the region of interest using multiple sensor arrays that are fixed on the distributed satellites. We present an ...

14

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS 
FOR ONE MAGNETRON

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON

... normal subspace A , while eigenvectors representing the set of anomalous axes span the anomalous subspace A ...normal subspace corresponding to the 'safe' part of the overall data takes the ...

10

Turbo multiuser detection with integrated channel estimation for differentially coded CDMA systems.

Turbo multiuser detection with integrated channel estimation for differentially coded CDMA systems.

... We have used a similar method as was proposed in [9], but in an iterative fashion and with some modifications. In [9], an arbitrary SNR was assumed a t the input of the Max- Log-MAP equalizer and decoder at the ...

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