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# Type Title Author Publisher Pub. Year Subjects Call Number
1 مقاله An L1 criterion for dictionary learning by subspace identification Jaillet, F. 2010 Dictionary learning.
Higher dimensions.
Local minimums.
Local optima.
Nonconvex optimization.
Normal vector.
Sparse representation.
Sparse signal representation.
Subspace identification.
Training data.
Convex optimization.
Optimization.
Signal processing.
Vectors.
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2 مقاله Non-Coherent DOA estimation Via majorization-minimization using sign information Delbari, M. Institute of Electrical and Electronics Engineers Inc, 2022 DOA estimation.
Sign measurements.
Sparse recovery.
Problem solving.
Direction of arrival estimation.
Imaginary parts.
Majorization-minimization.
Minimisation.
Most likely.
Non-coherent.
Real and imaginary.
Real part.
Sign measurement.
Sparse recovery.
Direction of arrival.
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3 مقاله Graph signal recovery using variational Bayes in Fourier pairs with Cramér–Rao bounds Torkamani, R. 2024 Cramér–Rao lower bound.
Fourier pairs.
Barium compounds.
Bayesian networks.
Fourier transforms.
Gaussian noise (electronic)
Markov processes.
Recovery.
Signal reconstruction.
Closed form.
Crame Rao bounds.
Crame-Rao lower bounds.
Cramer Rao lower bound.
Fourier.
Fourier pair.
Graph signal recovery.
Signal recovery.
Variational bayes.
Variational bayesian.
Iterative methods.
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4 مقاله Sparse component analysis in presence of noise using an iterative EM-MAP algorithm Zayyani, H. Springer Verlag, 2007 Additive noise.
Blind source separation.
Gaussian noise (electronic)
Iterative methods.
Problem solving.
Signal processing.
Expectation-Maximization of a Maximum A Posteriori estimation of sources (EM-MAP)
Sparse component analysis.
Sparse decomposition.
Steepest descent method.
Independent component analysis.
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5 مقاله Approximated Cramér-Rao bound for estimating the mixing matrix in the two-sensor noisy Sparse Component Analysis (SCA) Zayyani, H. 2013 Mixing matrix estimation.
Sparse component analysis.
Diagonal matrices.
Mixing matrix.
Mixing matrix estimations.
Observation vectors.
Cramér-Rao bound.
Sparse distribution.
Blind source separation.
Fisher information matrix.
Mixing.
Sensors.
Estimation.
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6 پایان نامه تجزیه به مولفه های تنک (SCA)و کاربردهای آن Sparse Component Analysis and its Applications زیانی، هادی Zayyani, Hadi صنعتی شریف 1388 یادگیری واژه نامه Dictionary Learning / تخمین پارامتر Parameter Estimation / تحلیل مؤلفه تنک Sparse Component Analysis (SCA) / نمایش سیگنال تنک Sparse Signal Representation / کران کرامر - رائو Cramer-Rao Bound / تخمین پارامتر Parameter Estimation / آزمون فرضیه بیزی Bayesian Hypothesis Testing
‭05-40519
7 مقاله A Distributed 1-bit compressed sensing algorithm robust to impulsive noise Zayyani, H. Institute of Electrical and Electronics Engineers Inc 2016 Diffusion strategy.
Steepest-descent.
Audio signal processing.
Channel estimation.
Cost functions.
Diffusion.
Impulse noise.
Signal reconstruction.
Steepest descent method.
Wireless sensor networks.
Compressive sensing.
Convex cost function.
Diffusion algorithm.
Distributed learning.
Impulsive noise environment.
Sparse channel estimations.
State of the art.
Algorithms.
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8 مقاله Dictionary learning for blind one bit compressed sensing Zayyani, H. Institute of Electrical and Electronics Engineers Inc 2016 One bit measurements.
Steepest-descent.
Compressed sensing.
Cost functions.
Matrix algebra.
Signal reconstruction.
Steepest descent method.
Convex cost function.
Dictionary learning.
Dictionary learning algorithms.
Measurement matrix.
One bit compressed sensing.
Original signal.
Random measurement.
Training signal.
Learning algorithms.
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9 مقاله Bayesian hypothesis testing detector for one bit diffusion LMS with blind missing samples Zayyani, H. Elsevier B.V, 2018 Bayesian hypothesis testing detector.
Diffusion strategy.
Missing samples.
One bit.
Diffusion.
Mean square error.
Regression analysis.
Statistical tests.
Adaptive networks.
Bayesian hypothesis.
Diffusion algorithm.
Diffusion LMS.
Diffusion strategies.
Distributed estimation.
Linear regression models.
Measurement model.
Linear regression.
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10 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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11 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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12 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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13 مقاله Estimating the mixing matrix in sparse component analysis (SCA) using em algorithm and iterative bayesian clustering Zayyani, H. 2008 Bayesian clustering.
EM algorithms.
Expectation maximization.
Mixing matrix.
Mixture model.
Novel algorithm.
Sparse component analysis.
Algorithms.
Computer simulation.
Mixing.
Signal processing.
Estimation.
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14 مقاله Decoding real-field codes by an iterative expectation-maximization (EM) algorithm Zayyani, H. 2008 Acoustics.
Boolean functions.
Codes (symbols)
Decoding.
Error analysis.
Error correction.
Linear programming.
Linear systems.
Linearization.
Maximum principle.
Signal processing.
Speech.
Error correcting codes.
Impulsive noise cancelation.
International conferences.
Sparse component analysis.
Sparse decomposition.
Iterative decoding.
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15 مقاله On the cramer-rao bound for estimating the mixing matrix in noisy sparse component analysis Zayyani, H. 2008 Cramer-rao lower bound.
Error estimations.
Gaussian.
Mixing matrix.
Mixing matrix estimation.
Sparse component analysis.
Sparse distribution.
Apartment houses.
Control theory.
Cramer-rao bounds.
Estimation.
Fisher information matrix.
Mixing.
Signal analysis.
Wireless telecommunication systems.
Blind source separation.
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16 مقاله Thresholded smoothed-ℓ0(SL0) dictionary learning for sparse representations Zayyani, H. 2009 Average numbers.
Compressed sensing.
Dictionary learning.
Simulation result.
Sparse component analysis (SCA)
Sparse representation.
Steepest descent.
Training signal.
Acoustics.
Education.
Signal processing.
Signal reconstruction.
Learning algorithms.
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17 مقاله Bayesian pursuit algorithm for sparse representation Zayyani, H. 2009 Bayesian.
Bayesian frameworks.
Bayesian hypothesis.
Compressed sensing (CS)
Pursuit algorithms.
Simulation result.
Sparse component analysis (SCA)
Sparse representation.
Acoustics.
Atoms.
Bayesian networks.
Signal processing.
Signal reconstruction.
Statistical tests.
Algorithms.
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18 مقاله Nonlinear interstory drift contours for idealized forward directivity pulses using "modified fish-bone" models Khalo, A. R. Multi-Science Publishing Co. Ltd, 2015 Forward directivity pulses.
Modified fish-bone model.
Nonlinear interstory drift.
Simplified MDOF model.
Bone.
Concrete beams and girders.
Tall buildings.
Contour.
Fish bones.
Forward directivity.
Interstory drifts.
Moment frames.
Near-fault earthquake.
Fish.
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19 مقاله Analysis of singularities of a 3DOF parallel manipulator based on a novel geometrical method Pendar, H. 2006 Constrained plain method (CPM)
Constraint plane (CP)
Infinite constraint plane (ICP)
Parallel manipulator.
Computational geometry.
Constraint theory.
Matrix algebra.
Parallel processing systems.
Theorem proving.
Manipulators.
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20 مقاله Melting enthalpy and entropy of freestanding metallic nanoparticles based on cohesive energy and average coordination number Omid, H. 2011 Adjustable parameters.
Analytical model.
Average coordination number.
Body-centered cubic.
Body-centered-tetragonal (bct) structure.
Cohesive energies.
Melting enthalpy.
Metallic nanoparticles.
Physical constants.
Variable coordination.
Crystal structure.
Entropy.
Mathematical models.
Molecular dynamics.
Nanoparticles.
Melting.
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Total 9952 records