Sharif Digital Repository

Separation of speech sources in under-determined case using SCA and time-frequency methods

Author

Mahdian, R.

Pub. Year

2008

Subjects

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.

Source estimation in noisy sparse component analysis

Author

Zayyani, H.

Pub. Year

2007

Subjects

Boolean functions. / Digital signal processors. / Signal processing. / Digital signals. / International conferences. / New algorithm. / Source estimation. / Sparse component analysis (SCA) / Digital signal processing.

T wave alternans detection in ECG using extended kalman filter and dualrate EKF

Author

Akhbari, M.

Pub. Year

2014

Subjects

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.

Learning overcomplete dictionaries based on atom-by-atom updating

Author

Sadeghi, M.

Pub. Year

2014

Subjects

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.

A projected gradient-based algorithm to unmix hyperspectral data

Author

Zandifar, A.

Pub. Year

2012

Subjects

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.

Dictionary learning for sparse representation: A novel approach

Author

Sadeghi, M.

Pub. Year

2013

Subjects

Dictionary learning. / Sparse representation. / Alternating minimization. / Computational loads. / Dictionary learning algorithms. / K-SVD,MOD. / Matrix factorizations. / Objective functions. / Algorithms. / Matrix algebra. / Problem solving.

ECG fiducial points extraction by extended Kalman filtering

Author

Akhbari, M.

Pub. Year

2013

Subjects

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.

Fiducial points extraction and characteristicwaves detection in ECG signal using a model-based bayesian framework

Author

Akhbari, M.

Pub. Year

2013

Subjects

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.

A new algorithm for learning overcomplete dictionaries

Author

Sadeghi, M.

Publisher

European Signal Processing Conference, EUSIPCO,

Pub. Year

2013

Subjects

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.

On the achievability of Cramér-Rao bound in noisy compressed sensing

Author

Niazadeh, R.

Pub. Year

2012

Subjects

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.

Error correction via smoothed L0-norm recovery

Author

Ashkiani, S.

Pub. Year

2011

Subjects

Sparse Signal Processing. / Classical approach. / Compressed sensing. / Corrupted signals. / Encoded signals. / Input signal. / Nonconvexity. / Real-field coding. / Sparse signals. / Redundancy. / Signal processing. / Algorithms.

Regularized low-coherence overcomplete dictionary learning for sparse signal decomposition

Author

Sadeghi, M.

Publisher

European Signal Processing Conference, EUSIPCO,

Pub. Year

2016

Subjects

Atoms. / Problem solving. / Block coordinate descents. / Closed form solutions. / Dictionary learning. / Low-coherence. / Mutual coherence. / Natural images. / Over-complete dictionaries. / Sparse signals. / Signal processing.

An alternating minimization method for sparse channel estimation

Author

Niazadeh, R.

Pub. Year

2010

Subjects

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.

Blind source separation in nonlinear mixture for colored sources using signal derivatives

Author

Ehsandoust, B.

Publisher

Springer Verlag,

Pub. Year

2015

Subjects

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.

A MAP-Based order estimation procedure for Sparse channel estimation

Author

Daei, S.

Publisher

Springer Verlag,

Pub. Year

2015

Subjects

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.

Compressed sensing block MAP-LMS adaptive filter for sparse channel estimation and a Bayesian Cramer-Rao bound

Author

Zayyani, H.

Pub. Year

2009

Subjects

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.

Blind separation of bilinear mixtures using mutual information minimization

Author

Mokhtari, F.

Pub. Year

2009

Subjects

Blind separation. / Independent components. / Linear quadratic. / Mutual informations. / Simulation result. / Learning systems. / Mixtures. / Signal processing. / Technical presentations. / Blind source separation.

An adaptive thresholding approach for image denoising using redundant representations

Author

Sadeghipour, Z.

Pub. Year

2009

Subjects

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.

A fast approach for overcomplete sparse decomposition based on smoothed ℓ0 norm

Author

Mohimani, H.

Pub. Year

2009

Subjects

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)

An iterative bayesian algorithm for sparse component analysis in presence of noise

Author

Zayyani, H.

Pub. Year

2009

Subjects

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.