Keywords: سنجش فشرده ; Compressed Sensing; Cryptography; Modes of operation
مقالات ISI ترجمه شده سنجش فشرده
Keywords: سنجش فشرده ; wireless sensor networks; compressed sensing; subspace pursuit; compression ratio; peak signal to noise ratio;
مقالات ISI سنجش فشرده (ترجمه نشده)
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Keywords: سنجش فشرده ; Electrocardiogram; Compressed sensing; Dictionary learning; MIT-BIH database; Compression ratio;
Keywords: سنجش فشرده ; Multiple-image encryption; Compressed sensing; Asymmetric encryption; Cylindrical diffraction;
Keywords: سنجش فشرده ; Force identification; Force localization; Compressed sensing; Group sparsity; Application;
Keywords: سنجش فشرده ; Thru-air radar; Compressed sensing; Grain level measurement;
Keywords: سنجش فشرده ; Compressed sensing; Moreau proximal smoothing; Accelerated alternating minimization; Sparse recovery; Total variation; 94A12; 90C25; 68U10;
Keywords: سنجش فشرده ; Speech enhancement; Compressed sensing; Regularized least squares;
Keywords: سنجش فشرده ; Compressed sensing; Corrupted measurements; Cramér-Rao Bound; Statistical priors for support sets of random cardinalities; Gaussian measurement matrix;
Keywords: سنجش فشرده ; Grid cells; Compressed sensing; Approximate message passing;
Keywords: سنجش فشرده ; Compressed sensing; Multi-dictionary framework; Global sensing matrix; Image processing;
Keywords: سنجش فشرده ; Autoencoder; Compressed sensing; Reconstruction;
Keywords: سنجش فشرده ; 3D electron tomography; Compressed sensing; Scanning transmission electron microscopy; Sparsity-exploiting reconstruction algorithms; Low-dose tomography;
Keywords: سنجش فشرده ; Maximum likelihood estimation; Compressed sensing; Sparse representation error; Signal and image compression;
Keywords: سنجش فشرده ; Sparse signal; Analog-to-information conversion; Compressed sensing; Nonuniform sampling; Stochastic sampling;
Keywords: سنجش فشرده ; Light fields; Sampling; View interpolation; Superresolution; Compressed sensing;
Keywords: سنجش فشرده ; Mutual coherence minimization; Compressed sensing; Convergence guarantee;
Keywords: سنجش فشرده ; Compressed sensing; Discrete fourier transform; Frequency estimation; Robust Chinese remainder theorem; Undersampling;
Keywords: سنجش فشرده ; Multi-image encryption; Compressed sensing; Feature fusion; Phase truncation;
Keywords: سنجش فشرده ; Additive manufacturing; Compressed sensing; Process monitoring; Temperature distribution;
Keywords: سنجش فشرده ; Compressed sensing; Signal reconstruction; Chaotic measurement matrix; Sparsity estimation; Restricted isometry property;
Keywords: سنجش فشرده ; Sparse signal; Compressed sensing; Restricted isometry property; Signal processing; Greedy algorithm;
Keywords: سنجش فشرده ; Internet of Things; Target tracking; Compressed sensing; Sampling subtraction;
Keywords: سنجش فشرده ; Image encryption; Compressed sensing; Structurally random matrix; 3-D cat map;
Keywords: سنجش فشرده ; Modulation domain; Modulation spectrum; Compressed sensing; Sparsity; Compressibility; Speech enhancement;
Keywords: سنجش فشرده ; Analog to information conversion; Compressed sensing; Chaos; Orthogonal circulant matrix; Expected restricted isometry property;
Keywords: سنجش فشرده ; Sparse recovery; Compressed sensing; Orthogonal least-squares; Orthogonal matching pursuit; Subspace clustering;
Keywords: سنجش فشرده ; Compressed sensing; Sparse sampling; Inpainting; Acquisition time; Dwell time per pixel;
Keywords: سنجش فشرده ; Dispersion compensation; Guided wave; Compressed sensing; Sparse representation; Structural health monitoring;
Keywords: سنجش فشرده ; Compressed sensing; Microphone array; Acoustic imaging; Singular value decomposition; Highly efficient; 00-01; 99-00;
Keywords: سنجش فشرده ; Seismic data reconstruction; Compressed sensing; Poisson Disk sampling; K-singular value decomposition;
Keywords: سنجش فشرده ; Signal; Reconstruction; Compressed sensing; l1 norm;
Keywords: سنجش فشرده ; Spatial or temporal data; Random fields; Stochastic analysis; Compressed sensing; Karhunen-Loève expansion;
Keywords: سنجش فشرده ; Multi-echo imaging; Multi-contrast imaging; Compressed sensing; Dictionary learning; Transform learning;
Keywords: سنجش فشرده ; Image fusion; Sparse matrix; Robust principal component analysis; Compressed sensing;
Keywords: سنجش فشرده ; Sparse representation; Speech synthesis; Dictionary learning; Compressed sensing;
Keywords: سنجش فشرده ; Compressed sensing; Sparse over-complete representations; Deep neural network; Sparse autoencoder; Bearing fault classification; Machine condition monitoring;
Keywords: سنجش فشرده ; Network measurement and inference; Traffic matrix estimation; Software defined networking; Compressed sensing; Multi-armed bandit algorithms;
Keywords: سنجش فشرده ; Heart; Myocardium; Cardiomyopathies; Magnetic resonance imaging; Myocardial infarction; Model-based reconstruction; Compressed sensing; Late Enhancement imaging; Delayed myocardial enhancement MRI;
Keywords: سنجش فشرده ; Reduced-order modeling; Sensor placement; Compressed sensing; Clustering; Flow control;
Keywords: سنجش فشرده ; Compressed sensing; Statistical dimension; Intrinsic volumes; Weighted â1-norm; Monte Carlo algorithm;
Keywords: سنجش فشرده ; Compressed sensing; Generalized orthogonal matching pursuit; Restricted isometry property; Sparse recovery;
Keywords: سنجش فشرده ; Compressed sensing; Modulation map; Local segment contrast measure; Bright and dark small targets;
Keywords: سنجش فشرده ; Grassmannian frames; Coherence; Compressed sensing;
Keywords: سنجش فشرده ; Secret image sharing; Prediction error; Compressed sensing; Access control; Kullback-Leibler divergence; Decoding probability;
Keywords: سنجش فشرده ; Graph signal processing; Sampling; Compressed sensing;
Keywords: سنجش فشرده ; 60D05; 94A12; Compressed sensing; Group sparsity; Sparse noise; Restricted isometry property; Golfing scheme;
Keywords: سنجش فشرده ; Magnetic resonance imaging; Image reconstruction; Compressed sensing;
Keywords: سنجش فشرده ; Shoulder; MRI; 3D fast spin echo; Compressed sensing; Fast imaging;
Keywords: سنجش فشرده ; Non-subsampled contourlet transform (NSCT); Photonic crystal fiber; Compressed sensing; Optical properties;