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# Type Title Author Publisher Pub. Year Subjects Call Number
1 مقاله Separation of speech sources in under-determined case using SCA and time-frequency methods Mahdian, R. 2008 De-mixing.
Estimation techniques.
K-means clustering.
Mixing matrix.
Separation techniques.
Short time fourier transforms.
Simulation result.
Source extraction.
Source separation.
Speech signals.
Speed enhancement.
Time-frequency methods.
Under-determined.
Unmixing.
Apartment houses.
Mixtures.
Separation.
Signal analysis.
Blind source separation.
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2 مقاله Source estimation in noisy sparse component analysis Zayyani, H. 2007 Boolean functions.
Digital signal processors.
Signal processing.
Digital signals.
International conferences.
New algorithm.
Source estimation.
Sparse component analysis (SCA)
Digital signal processing.
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3 مقاله T wave alternans detection in ECG using extended kalman filter and dualrate EKF Akhbari, M. 2014 Dualrate EKF.
Electrocardiogram (ECG)
Extended Kalman filter (EKF)
Estimation.
Signal processing.
Dual rates.
Estimation errors.
Mean and standard deviations.
Model parameters.
Qualitative evaluations.
Sudden cardiac deaths (SCD)
T wave alternans (TWA)
Electrocardiography.
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4 مقاله Learning overcomplete dictionaries based on atom-by-atom updating Sadeghi, M. 2014 Compressive sensing.
Dictionary learning.
K-SVD.
Sparse approximation.
Coefficient matrix.
Dictionary learning algorithms.
Linear combinations.
Over-complete dictionaries.
Sparse approximations.
Approximation algorithms.
Iterative methods.
Learning algorithms.
Atoms.
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5 مقاله A projected gradient-based algorithm to unmix hyperspectral data Zandifar, A. 2012 hyper-spectral imagery.
linear mixture model (LMM)
non-negative matrix factorization (NMF)
Gradient based algorithm.
HyperSpectral.
Hyperspectral Data.
Hyperspectral unmixing.
Linear mixing models.
Linear mixture models.
Mixed pixel.
Nonnegative matrix factorization.
Penalty term.
Problem-based.
Projected gradient.
Single-step.
Statistical independence.
Synthetic data.
Factorization.
Signal processing.
Spectroscopy.
Algorithms.
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6 مقاله Dictionary learning for sparse representation: A novel approach Sadeghi, M. 2013 Dictionary learning.
Sparse representation.
Alternating minimization.
Computational loads.
Dictionary learning algorithms.
K-SVD,MOD.
Matrix factorizations.
Objective functions.
Algorithms.
Matrix algebra.
Problem solving.
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7 مقاله ECG fiducial points extraction by extended Kalman filtering Akhbari, M. 2013 Characteristic Waves.
Electrocardiogram (ECG)
Extended Kalman Filter (EKF)
Fiducial Points Extraction.
Segmentation.
Automatic Detection.
Dynamic parameters.
Electrocardiogram signal.
Extended Kalman filtering.
Extraction of characteristics.
Fiducial points.
Gaussian functions.
Qualitative evaluations.
Diagnosis.
Estimation.
Extended Kalman filters.
Extraction.
Image segmentation.
Signal detection.
Electrocardiography.
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8 مقاله Fiducial points extraction and characteristicwaves detection in ECG signal using a model-based bayesian framework Akhbari, M. 2013 Characteristic Waves.
Electrocardiogram (ECG)
Extended Kalman Filter (EKF)
Fiducial Point Extraction.
Segmentation.
Automatic Detection.
Bayesian frameworks.
Dynamic parameters.
Extraction of characteristics.
Fiducial points.
Mean and standard deviations.
Qualitative evaluations.
Reliable detection.
Diagnosis.
Estimation.
Extended Kalman filters.
Extraction.
Image segmentation.
Signal detection.
Electrocardiography.
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9 مقاله A new algorithm for learning overcomplete dictionaries Sadeghi, M. European Signal Processing Conference, EUSIPCO, 2013 Compressed sensing.
Overcomplete dictionary learning.
Sparse signal approximation.
Cost functions.
Iterative methods.
Signal processing.
Autoregressive signals.
Closed-form formulae.
Computational loads.
Dictionary learning.
Iterative algorithm.
New approaches.
Over-complete dictionaries.
Sparse signals.
Learning algorithms.
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10 مقاله On the achievability of Cramér-Rao bound in noisy compressed sensing Niazadeh, R. 2012 Chernoff bound.
Typical estimation.
Achievability.
Building blockes.
Compressed sensing.
Compressive sampling.
Concentration of measure.
Gaussianity.
joint typicality.
Lower bounds.
Matrix.
Measurement matrix.
Signal process.
Theoretic limit.
Estimation.
Signal reconstruction.
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11 مقاله Error correction via smoothed L0-norm recovery Ashkiani, S. 2011 Sparse Signal Processing.
Classical approach.
Compressed sensing.
Corrupted signals.
Encoded signals.
Input signal.
Nonconvexity.
Real-field coding.
Sparse signals.
Redundancy.
Signal processing.
Algorithms.
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12 مقاله Regularized low-coherence overcomplete dictionary learning for sparse signal decomposition Sadeghi, M. European Signal Processing Conference, EUSIPCO, 2016 Atoms.
Problem solving.
Block coordinate descents.
Closed form solutions.
Dictionary learning.
Low-coherence.
Mutual coherence.
Natural images.
Over-complete dictionaries.
Sparse signals.
Signal processing.
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13 مقاله An alternating minimization method for sparse channel estimation Niazadeh, R. 2010 Alternating minimization.
Channel taps.
High SNR.
Least square methods.
Lower bounds.
MAP detection.
Maximum A posteriori probabilities.
Sparse channels.
Wireless transmissions.
Acoustic fields.
Algorithms.
Iterative methods.
Least squares approximations.
Location.
Optimization.
Signal detection.
Underwater acoustics.
Estimation.
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14 مقاله Blind source separation in nonlinear mixture for colored sources using signal derivatives Ehsandoust, B. Springer Verlag, 2015 Independent component analysis.
Mathematical transformations.
Mixtures.
Nonlinear analysis.
Colored source.
General solutions.
Integral operators.
Linear mixtures.
Nonlinear mixtures.
Nonlinear problems.
Novel techniques.
Realistic applications.
Blind source separation.
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15 مقاله A MAP-Based order estimation procedure for Sparse channel estimation Daei, S. Springer Verlag, 2015 Cramér-Rao lower bound.
Algorithms.
Least squares approximations.
Mean square error.
Probability distributions.
Underwater acoustics.
Bayesian.
Least square estimation.
Lower bounds.
Maximum A posteriori probabilities.
Normalized mean squared errors.
Sparse channel estimations.
Statistical information.
Ultra-wideband channels.
Channel estimation.
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16 مقاله Compressed sensing block MAP-LMS adaptive filter for sparse channel estimation and a Bayesian Cramer-Rao bound Zayyani, H. 2009 Bayesian Cramer-Rao bound.
Channel output.
Compressed sensing.
Faster convergence.
LMS adaptive filters.
Lower bounds.
Received signals.
Sampling rates.
Sparse channels.
Adaptive filters.
Algorithms.
Bayesian networks.
Communication channels (information theory)
Convergence of numerical methods.
Cramer-Rao bounds.
Electric filters.
Estimation.
Learning systems.
Signal processing.
Signal reconstruction.
Technical presentations.
Adaptive filtering.
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17 مقاله Blind separation of bilinear mixtures using mutual information minimization Mokhtari, F. 2009 Blind separation.
Independent components.
Linear quadratic.
Mutual informations.
Simulation result.
Learning systems.
Mixtures.
Signal processing.
Technical presentations.
Blind source separation.
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18 مقاله An adaptive thresholding approach for image denoising using redundant representations Sadeghipour, Z. 2009 A-transform.
Adaptive thresholding.
De-noising.
Gaussian white noise.
Image de-noising.
Noisy image.
Noisy signals.
Over-complete.
Redundant representation.
Redundant transform.
Simulation result.
Statistical properties.
Thresholding.
Unitary transform.
Image processing.
Learning systems.
Shrinkage.
Signal processing.
Technical presentations.
White noise.
Adaptive algorithms.
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19 مقاله A fast approach for overcomplete sparse decomposition based on smoothed ℓ0 norm Mohimani, H. 2009 Atomic decomposition.
Overcomplete signal representation.
Sparse decomposition.
Sparse source separation.
Algorithms.
Apartment houses.
Atomic physics.
Atoms.
Decoding.
Independent component analysis.
Linearization.
Object recognition.
Separation.
Signal analysis.
Signal reconstruction.
Speech analysis.
Atomic decomposition.
Blind source separation (BSS)
Compressed sensing.
Sparse component analysis (SCA)
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20 مقاله An iterative bayesian algorithm for sparse component analysis in presence of noise Zayyani, H. 2009 Blind source separation (BSS)
Additive Gaussian noise.
Atomic decomposition.
Bayesian algorithms.
Bayesian approaches.
Convergence analysis.
Global maximum.
Low sensitivity.
MAP algorithms.
MAP estimation.
Maximum a posteriori estimation.
Other algorithms.
Simulation parameters.
Simulation result.
Source parameters.
Sparse component analysis.
Sparse component analysis (SCA)
Sparse decomposition.
Sparse solutions.
Sparse source separation.
System of linear equations.
Systems of linear equations.
Apartment houses.
Bayesian networks.
Convergence of numerical methods.
Gaussian noise (electronic)
Iterative methods.
Parameter estimation.
Separation.
Signal analysis.
Speech analysis.
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Total 1463 records