subspace

Since the wavelets possess symmetry and interpolation, the sampling theorem on approximation subspace is established easily.

Partial differential equations are solved by first discretizing the equation, bringing it into a finite-dimensional subspace.

The energy of the desired user may lie on a lower dimensional subspace, so the detection can be constrained on a reduced-rank subspace.

Firstly, by utilizing the signal structure characteristic and subspace-based method, multi-users' carrier frequency offsets can be obtained.

appearance tracking, where the target visual appearances fora short time interval are represented as a linear subspace.

Their main feature is, at each iteration, to search for an optimal solution in the subspace.

By numeric experimentation, identification precision and efficiency of the two subspace methods is analyzed under different noise.

The story arch revolves around the discovery of bio-cyberspace existing in human brains (kinda like subspace in outer space).

Through the simulation experiments, it checks the validity of the closed-loop subspace model identification.

introducing a self-adaptive mechanism to adjust the dimension of the search subspace as the searching range changed.

We propose a subspace interior point trust region method to solve this type of problems, and our method does not need parameterization.

The characteristic subspace is structured, then the face recognition is implemented in the characteristic subspace.

In machine learning, subspace information criterion(SIC) gives an unbiased estimate of the generalization error.

We first fit the subspace to the detected trajectories robustly using RANSAC and then remove those that have large residuals.

The main contributions of this paper are listed as follows. (1) An incremental tensor subspace learning based object tracking is presented.

A subspace-based state space system identification method is applied to identify the model of rotorcraft in hover.

Subspace methods for face recognition , image representation , image metric, and ensemble learning .

Compared with general statistical feature subspace, less operation was needed in forming the adaptive feature subspace.

In this paper, an incremental tensor subspace learning algorithm is proposed to model and update the object appearance in tensor subspace.

Thirdly, standardization and dimension reduction are performed to classify signals in each signal subspace.

The high resolution of noise subspace processing is remained, and robustness via signal subspace processing is improved in this method.

We researched the subspace eigenvalue decomposition and weighted subspace fitting techniques in the beam space.

Scientists on Earth first confirm existence of the subspace domain.

A new blind identification algorithm for the communication channel is presented by using minimum noise subspace approach.

Then, we give a closed-form solution to this subspace tracking problem and also provide a practical iterative algorithm.

Several numerical examples show the effectiveness of TNP and subspace truncated-Newton algorithm for solving the OCP.

By utilizing subspace projection, this paper proposes a new anti-jamming algorithm for conventional multi-beam forming.

A criteria for detection is derived based theasymptotical analysis of the orthogonality between signal and noise subspace.

The isomorphic conditions of some lattices generated by transitive sets of subspace under finite pseudo-symplectic groups are discussed.

A novel sparsity adaptive subspace pursuit algorithm is proposed for sparse signals with unknown sparsity.

Kernel function is introduced to subspace clustering to improve the clustering performance.

The reduced system is obtained by projecting the original system onto a predefined approximate subspace.

A subspace radio typically has a real-time range of several light years.

AN IMPROVED SUBSPACE METHOD AND ITS APPLICATION TO PARAMETER.

Therefore, the dual eigenspace method for automatic palmprint recognition was proposed using the subspace method of pattern recognition.

To classify the blocks, a modified subspace method is used to analysed the denseness of the coating texture.

The problem of closed-loop subspace identification for continuous-time models from sampled data directly is considered.

In the end, two algorithms grounded on subspace and cyclostationarity for channel blind estimation are introduced briefly.

In this paper, we give the character of stable invariant subspace of certain essentially normal operators, i.

Compared with a system performance monitoring based on characteristic subspace, the improved PCA is more effective.

Subspace algorithm based on the semi-blind system ofdm estimate, and I hope to channel estimation colleagues help!

Firstly, this paper describes the subspace method of single-input multiple-output (SIMO) systems.

The K-L subspace method of pattern recognition is introduced to solve the fault diagnosis of rotating machinery.

For that reason, ships also carry a subspace radio, which provides much greater range but also requires a greater power allotment.

In step 2, the algorithm projects the samples of the new testing samples set into another subspace and classifies them.

This work proposes a subspace approach that regularizes and extracts eigenfeatures from the face image.

If we do VQ at the lower dimensional subspace, the computing complexity can be reduced.

By unified signal model of antenna array Multicarrier DS-CDMA system, the subspace-based blind channel estimation is achieved.

Meanwhile, the blind method based on subspace may have inevitable ambiguity and lower precision of identification.

Finally, another feature extraction method based on orthogonal subspace of the samples is . . .

This technique is based on the suboptimal subspace blind minimum mean square error (MMSE) algorithm of multiuser detection.

Proposes an algorithm of bi-iteration subspace tracking using instrumental variable, and it is a bi-iterate rank-one update model.

The paper makes some studies on subspace tracking algorithm.

A subspace-based channel estimation is studied for Multicarrier DS-CDMA system with antenna array.

The corresponding identification methods, such as lifting method, frequency domain method and subspace method, are also discussed.

Based on optimal signal subspace (OSS) a adaptive SC-FDE system utilizing the same one bit per subcarrier CSI like OFDM is conceived.

8 of the document [1] for complementary isotopic subspace and kernel-contained isotropic subspace.

Aiming at the similarity measurement of high dimensional data, the paper put forward a new method based on subspace.

This paper proposes a subspace-based semiblind channel estimation method in MC-CDMA systems.

The scatter matrix between classes is used to find the subspace. So the classes scatter more widely each other in the subspace.

In this paper, first of all , some new properties of isotropic subspace and conplemen-tart isotropic subspace are given.

Then, the red lights and green lights will be filtered and classified based on the color analysis in the hue subspace of HSI color model.

It makes use of the high dimensional space is mostly empty, so it can be represented by a lower dimensional subspace.

A single channel speech enhancement method for noisy speech signals is proposed based on the subspace method.

Works faster but requires about 50% more memory than subspace.

Firstly, blind MUD based on signal subspace and reduced-rank subspace are analysed.

The second method is based on the virtual sub-carrier subspace blind channel estimation method.

A reduced rank method for estimating signal subspace was proposed, which was based on the principle of multistage Wiener filter.

This method is based on subspace projection and in this method the information about some points on the ground is used.

A direct calculation of eigenvalues of any arbitrary range of energy within local-subspace

Optimized Radial Basis Functions-Cyclic Subspace Regression and Its Application to Quantitative Structure-activity Relationships

A Rapid Algorithm of Cyclic Subspace Regression and Its Application to Quantitative Structure-Activity Relationships

Determination of Aerodynamic Admittance Functions of Bridge Decks by Covariance-driven Stochastic Subspace Identification Technique

Optimal channels selection for underlying surface classification using orthogonal subspace projection algorithm

Necessary and Sufficient Conditions for Every Closed Maximal Linear Subspace to be Strongly Orthogonally Complemented in Banach Spaces

Analysis of orthogonal subspace of incomplete controlled space of linear system and its vivid presentation of low dimension

Application of Subspace Comparison Method in Studying the Relationship Between Topological Block Variables and Variable Selection

An interior affine scaling subspace trust region method for nonlinear optimizations subject to linear inequality constraints;

Computing Unstable Period Orbits of Discrete Chaotic System Though Differential Evolutionary Algorithms Basing on Elite Subspace

Application of updated concurrent subspace optimization in the structural optimization with constraints of aerodynamics and RCS of aircraft

Estimating Direction-of-Arrival Via Time-Frequency Signal Subspace Fitting

Empirical mode decomposition based stochastic subspace identification

Distance from a Given Vector to a Subspace and Its Applications

Study of Appearance-based Subspace Face Recognition Algorithms

The left and right inverse eigenvalue problem for symmetric positive definite and symmetric positive semidefinite matrices on subspace

Subspace Tracking-Based Research on Narrowband Interference Suppression in DSSS Communication Systems

New signal subspace direction-of-arrival estimator for wideband sources

Efficient Extraction of Event Related Potentials by the Combination of Subspace Method and Lift Wavelet Transform

Improved Subspace Method with Application in Linear Time-Varying Structural Modal Parameter Identification

Improving Spectral Resolution of Subspace-Based DOA Estimation Algorithms by Localized Subspace Projection

Application of stochastic subspace identification in modal parameter identification of bridge tower

Exact Linearization Based Multiple-Subspace Iterative Resolution to Affine Nonlinear Control System

Subspace-Tracking Channel Estimation for Training-Sequence-Based OFDM Systems with Transmitter Diversity

Bivariate Nonseparable Scaling Function and Sampling Theorem on Approximation Subspace

A Channel Estimation Method for Orthogonal Frequency Division Multiplexing Systems by Tracking Delay-Subspace

Gabor Representation Based Probabilistic Subspace Analysis for Face Recognition

Structural Model Parameters Identification with the Approach of Stochastic Subspace

An Efficient Discovering and Maintenance Algorithm of Subspace Clustering over High Dimensional Data Streams

Modal Parameter Identification for Flexible Spacecraft Using Output-only Subspace Algorithm

Direct decomposition of invariant subspace and its application

Decentralized controllable subspace and unobservable subspace of large-scale systems

A comparative study for orthogonal subspace projection and constrained energy minimization

The Constant Modulus Algorithm and Subspace Approach for Blind Fractionally Spaced Equalization

Nonparametric Model and Variational Bayesian Learning for Subspace Clustering

An Elite-subspace Evolutionary Algorithm for Solving Function Optimization Problems

On Overcoming Signal-Subspace Dimension Expanding in Wide-Band Signal-Subspace Spatial-Spectrum Estimator

Completeness of the Root Subspace of a Beam Equation under the Boundary Feedback

Subspace System Identification Methods for Structural Modal Parameters

Feature subspace based KPCA and its application to fault detection and diagnosis

Subspace-Tracking Channel Estimation for Pilot-Symbol-Aided OFDM Systems with Transmitter Diversity

Application of Interesting Subspace Mining Algorithm in High-dimensional Data Clustering

Interference suppression in GPS receiver using space-time subspace projection techniques

Subspace truncated-Newton algorithm for large-scale bound constrained optimization

Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Fault isolation and identification approach in principal component subspace

Application of subspace decomposition approach in speech enhancement system

Linear Discriminant Analysis in Complementary Subspace for Face Recognition

Companion Matrix and the Resolution of Transmitted and Inductive Subspace on Ordered Series of Numbers of Homogeneous Linear

A Fast Method for Subspace Decomposition and Its Dimension Estimation

The Principle of Generalized Spectral Correlation Signal Subspace Fitting for DOA Estimation

Subspace Clustering through Attribute Clustering

Direction of arrival estimation of wide band sources with small array based on beam-space coherent signal-subspace method

Parameter identification of structures: based on stochastic subspace and its validation in shaking table testing

The Degree of Controllability and Observability of Closed Frequency Subspace

Bi-Iteration Singular Value Decompose Based Subspace Identification Method

Improved Signal Subspace Transform Wide - Band Direction Finding Algorithm

Model parameter selection with subspace information criterion

Bi-rotation signal subspace approach to joint estimation for signal frequencies and directions of arrival

Another Equivalent Condition for the Invariant Subspace Problem

Frequency Domain Subspace Based Time-Delay System dentification Algorithm

Application of a New Subspace Tracking Method in the DOA Estimation

A New Subspace Identification Algorithm Using Principle Component Analysis

Adaptive band selection method of hyper spectral image using adaptive subspace decomposition

Closed-loop Subspace-based Identification Algorithm Using High Order Cumulants

Indirect Training of Quantized Subspace Distribution Hidden Markov Model

Research on the Improved Methods of Wideband Signal-Subspace Spatial-Spectrum Estimation

Study on Subspace-Based Direction Finding Algorithm in the Presence of Impulsive Noise Environments

The GASS algorithm makes subspace selection for high-dimensional features, and eliminates useless subclassifier;

Next, the estimator constructs a new data covariance, and gets a noise subspace by singular value decomposition;

Wandering Subspace Property for a Class of Operators

Study of Supplier Categorization Approach Based on Subspace Clustering

Bilinear Subspace Identification of Induction Motors

Narrow Band Interference Suppression for SAR Using Eigen-Subspace Based Filtering

Estimation of Rank by Chemical Subspace Invariant to Linear Transformation Method

Different from the subspace tracking algorithm, this method need not update the signal subspace;

Bi-iteration Subspace Tracking Using Instrumental Variable

A Novel Principal Component Analysis Subspace Tracking Algorithm

Detection of Transient Signals Using Matched Subspace Projection

Identification of modal parameters for bridge wind tunnel test by using a stochastic subspace technique

Recognition of a Limited Chinese Character Set Based on PCA Learning Subspace Algorithm

Stochastic Subspace Model Identification and One-step Prediction for Time Series Data

Least square approach for subspace intersection method of bearing estimation in shallow water

subspace iteration accelerated by using chebyshev polynomials

Subspace-Based Calibration Approach for Mutual Coupling Among Sensors

The Stable Invariant Subspace of Certain Essentially Normal Operators

Estimation of Signal Subspace Dimension for Multiuser Detection

Improvement of subspace state space system identification

Modal Extraction of Structure in Operating Conditions with Subspace Method

Signal subspace iterative fitting based blind channel estimation for ZP-OFDM systems

A New Method Based on Orthogonal Subspace for Estimation of the Direction of Signals

Stochastic subspace identification method based on continuous model for modal parameters of engineering structures

A Subspace-Based Recursive Approach to DOA Estimation with Sparsity Constraint

A Weighted Signal-Subspace Spatial-Spectrum Estimator in Constant Beam-Width Beam Space

Hidden Markov model with quantized subspace distribution

Signal Subspace Based Blind Adaptive Multiuser Detection

Wavelet Based Subspace Projection Algorithm for Stereo Image Coding

Invariant Subspace of a Fuzzy Vector Space

Identification of Subspace-partition Based Fuzzy System Model

Some Consideration about Subspace Iteration

Direction of arrival estimation method based on the angular signal subspace

Overview on subspace model identification methods

A Grid-based Subspace Clustering Algorithm for High-dimensional Data Streams

Determination of the Evacuation Route by Subspace Model

Research on Theory and Application of Feedforward Neural Networks Design Based on Subspace Information Quantity Criterion

Subspace Based Calibration Algorithm for Gain and Phase Errors of Array Antennas

Subspace-based channel estimation algorithm for OFDM systems

A subspace clustering algorithm for high dimensional spatial data

Subspace Methods of Radar Target Recognition Using Range Profiles

Analysis and Research of Subspace Based Blind Multiuser Detection

A Subspace Detection Method of Space-Time Block Codes for Ultra-wideband Communications

The lscm algorithm and subspace approach for blind multiuser detection

Study on Recursive Subspace Model Identification

Optimum wideband beamformer design for beamspace coherent signal subspace method

Subspace clustering method for high dimensional data stream

A robust subspace tracking method in impulsive noise environment

A baseline estimation method for INSAR based subspace projection

An ad joint simplectic subspace iteration method of a large gyroscopic system

An Improved Subspace Method for Recognizing Imprecisely Fragmentary Faces

Invariant Subspace and Cyclic Vector of Diagonal Operators

Solvability Conditions for Inverse Problem of Part Symmetric Positive Semidefinite and Part Semipositive Subdefinite Matrices on Subspace

A new subspace method for the estimation of parameters of near field sources

Analysis of Subspace based Blind Multiuser Detection

Subspace projection technique in stereo image coding

New subspace algorithm for blind channel estimation in OFDM systems

A Subspace Tracking Based Blind Adaptive Kalman Multi-user Detector

Identified Method of Arch Bridge Modal Parameters Based on Stochastic Subspace Combined with Stabilization Diagram

Blind Adaptive Estimation of Steering Vector of an Antenna Array Based on the Subspace Method

Quantized subspace distribution hidden markov model, QSDHMM

Novel facial expression recognition method based on double discriminant subspace and neural network

Revised Subspace-Based Decoding of Space-Time Block Codes over Spatially Correlated Channels

The Property of Rank 1 Operator in Modules of the Algebras of Commutative Subspace Lattices

CFAR Target Detection in Unknown Background Based on Subspace Projection in Aerial Hyperspectral Imagery

A Pronunciation Enhancement Algorithm Based on Subspace Decomposition

A subspace tracking algorithm for space-time multi-user detection

Feature Extraction Based on Automatic Subspace Partition for Hyperspectral Images

Reflexivity of six elements subspace lattices

Multiuser detection based on subspace fitting and its norm divergence

Micro-calcifications Detection Based on Iterative Rank-order Filter Subspace and SVM with Rejection Feature

Closed-loop Subspace Identification Based on Augmented Input with Consistency Analysis

DOA estimation for signals by noise-subspace of one dimension algorithm

Research and Advances of Subspace Clustering

Completely uncovered basis in linear subspace set

A Method for Estimating Parameters of Multiple Harmonic Families Based on Subspace Matching Pursuit

A new algorithm of blind SOS subspace channel estimation for OFDM system

Application of K-L Subspace Method to Vibratory Fault Diagnosis of Fan

Base and Dimension of Intersection and Sum of Generated Subspace in pn

Time-varying system identification using recursive subspace method based on free response data

The OCR Techniques for Vote Information Processing Based on Learning Subspace Method and Neural Network

A method of determining the base and dimension of subspace's intersection

Root Subspace Decomposition of Linear Space

A Survey: Subspace Analysis for Face Recognition

Subspace Signal Retrieve Method for Flutter Test

Small-signal stability analysis and coordinated control based on subspace algorithm

Multi-Class Signal Classification Algorithm Based on Wavelet Subspace, SVM and Fuzzy Integral

A semi-blind multiuser projection receivers based on conjugate gradient and subspace tracking

Research on soft-sensor model selection based on subspace information quantity criterion

Wide-Band Signal-Subspace Spatial-Spectrum Estimation Based on Frequency Domain Modeling

Application of velocity subspace in the analysis of motion coupling of 3-PTT parallel mechanism

An Inverse Iterative Method Based on the CR Subspace for the Blind Identification of SIMO Channels

Inverse Problem for Symmetric Matriceson Subspace

Batch processes fault detection based on characteristic subspace moving window PCA

DOA Estimation of Wideband Chirp Signals Based on Time-Frequency Subspace Decomposition

Blind multiuser detection over multipath channels based on subspace tracking

A hidden layer evaluation method for feedforward neural networks based on subspace analysis

Concurrent Subspace Design Method Based on the Evolutionary Search Strategy

a class of lattice - subspace in regular operator space

Product Space and Subspace and Map of Approximate Space

Simultaneous Estimation of Frequency and DOA of Emitters Based on Signal-Subspace Rotation

Re-discussing about the Method of the Base of the Cross and Sum of the Subspace

Damage Identification of Actual Bridge Based on Subspace Rotation Algorithm

A Closed-Loop Subspace Identification Method Based on Orthogonal Projection

Further discussion on the properties of M-subspace

Research on Audio Watermarking Algorithm Based on Difference Subspace

A Method Based on Multi-microphone for Speech Enhancement by Eigenvalue Subspace Approach

Method for Sidelobe Suppression in Phase-Coded Radar Based on Feature Subspace Projection

Linear Conjugate Semi-blind Multiuser Detection Based on Subspace Tracking

Improved Beamforming Algorithm Based on Subspace Tracking

Range profile recognition of radar target based on discriminant vector subspace

A novel subspace algorithm for DOA estimation

A comparison of error subspace Kalman filters