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1. Full Text More Is Less: Signal Processing and the Data Deluge
by Richard G. Baraniuk
Science (American Association for the Advancement of Science), ISSN 0036-8075, 2/2011, Volume 331, Issue 6018, pp. 717 - 719
Engineering | Algorithms | PERSPECTIVE | Data storage | Signal processing | Data transmission | Cameras | Digital cameras | Sensors | Raw data | Computer technology | Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Signal Processing, Computer-Assisted | Information Management | Informatics | Information Storage and Retrieval | Automatic Data Processing | Electronic data processing | Management | Research | Properties | Index Medicus | Systems design | Detection | Information systems
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2. Full Text Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
by Jacques, L and Laska, J. N and Boufounos, P. T and Baraniuk, R. G
IEEE transactions on information theory, ISSN 0018-9448, 04/2013, Volume 59, Issue 4, pp. 2082 - 2102
consistent reconstruction | compressed sensing | Quantization | Vectors | sparsity | Decoding | iterative reconstruction | Noise measurement | approximation error | reconstruction algorithms | dimensionality reduction | Measurement uncertainty | 1-bit compressed sensing | signal reconstruction | Robustness | Distortion measurement | Dimensionality reduction | Consistent reconstruction | Sparsity | Reconstruction algorithms | Approximation error | Signal reconstruction | Iterative reconstruction | Compressed sensing | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Data processing. List processing. Character string processing | Signal and communications theory | Memory organisation. Data processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Applied sciences | Information, signal and communications theory | Software | Detection, estimation, filtering, equalization, prediction | Computer science; control theory; systems | Signal processing | Usage | Error analysis (Mathematics) | Analysis | Gaussian processes | Analog to digital converters | Measurement errors | Sampling | Normal distribution | Information theory
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3. Full Text Kronecker Compressive Sensing
by Duarte, M. F and Baraniuk, R. G
IEEE transactions on image processing, ISSN 1057-7149, 02/2012, Volume 21, Issue 2, pp. 494 - 504
Multiplexing | Image coding | Atmospheric measurements | video compression | compression algorithms | Particle measurements | multidimensional signal processing | Compressed sensing | Hyperspectral imaging | hyperspectral imaging | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Sampling, quantization | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Technology application | Usage | Innovations | Linear models (Statistics) | Hessian matrices | Linear regression models | Remote sensing | Approximation | Mathematical analysis | Images | Derivation | Matrices | Representations | Detection | Matrix methods
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4. Full Text The Pros and Cons of Compressive Sensing for Wideband Signal Acquisition: Noise Folding versus Dynamic Range
by Davenport, M. A and Laska, J. N and Treichler, J. R and Baraniuk, R. G
IEEE transactions on signal processing, ISSN 1053-587X, 09/2012, Volume 60, Issue 9, pp. 4628 - 4642
peak-to-average power ratio | wideband radio receivers | Receivers | sampling | dynamic range | Vectors | Noise measurement | Analog-to-digital conversion | Bandwidth | noise | Pollution measurement | compressive sensing | Signal to noise ratio | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Signal and communications theory | Sampling, quantization | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Applied sciences | Information, signal and communications theory | Analog-digital conversion, digital-analog conversion, pcm coding | Detection, estimation, filtering, equalization, prediction | Studies | Noise
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5. Full Text Nonlinear wavelet transforms for image coding via lifting
by Claypoole, R.L and Davis, G.M and Sweldens, W and Baraniuk, R.G
IEEE transactions on image processing, ISSN 1057-7149, 12/2003, Volume 12, Issue 12, pp. 1449 - 1459
Wavelet transforms | Image coding | Stability | Nonlinear distortion | Humans | Transform coding | Nonlinear filters | Signal processing | Quantization | Frequency synchronization | Adaptive signal processing | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Applied sciences | Information, signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Analysis | Methods | Compressing | Images | Nonlinearity | Mathematical models | Synchronization | Hoisting
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6. Full Text Single-frame 3D fluorescence microscopy with ultraminiature lensless FlatScope
by Adams, Jesse K and Boominathan, Vivek and Avants, Benjamin W and Vercosa, Daniel G and Ye, Fan and Baraniuk, Richard G and Robinson, Jacob T and Veeraraghavan, Ashok
Science advances, ISSN 2375-2548, 2017, Volume 3, Issue 12, pp. e1701548 - e1701548
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7. Full Text Bayesian Compressive Sensing Via Belief Propagation
by Baron, D and Sarvotham, S and Baraniuk, R.G
IEEE transactions on signal processing, ISSN 1053-587X, 01/2010, Volume 58, Issue 1, pp. 269 - 280
Greedy algorithms | fast algorithms | Length measurement | Linear programming | Encoding | Decoding | Sparse matrices | Graphical models | Bayesian methods | Inference algorithms | Bayesian inference | compressive sensing | Belief propagation | Compressive sensing | Fast algorithms | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Signal and communications theory | Miscellaneous | Coding, codes | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Bayesian statistical decision theory | Usage | Analysis
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8. Full Text Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP)
by Maleki, A and Anitori, L and Yang, Z and Baraniuk, R. G
IEEE transactions on information theory, ISSN 0018-9448, 07/2013, Volume 59, Issue 7, pp. 4290 - 4308
complex-valued LASSO | compressed sensing (CS) | Message passing | minimax analysis | Gaussian processes | Minimax techniques | Approximation theory | Approximate message passing (AMP) | Compressed sensing | Minimax analysis | Complexvalued LASSO | Compressed sensing (CS) | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Signal and communications theory | Sampling, quantization | Telecommunications and information theory | Exact sciences and technology | Applied sciences | Information, signal and communications theory | Information theory | Signal processing | Usage | Analysis | Simulation methods | Measurement | Algorithms | Simulation | Normal distribution | Asymptotic methods
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9. Full Text Model-Based Compressive Sensing
by Baraniuk, R.G and Cevher, V and Duarte, M.F and Hegde, C
IEEE transactions on information theory, ISSN 0018-9448, 04/2010, Volume 56, Issue 4, pp. 1982 - 2001
Greedy algorithms | signal model | Costs | wavelet tree | sparsity | Block sparsity | Guidelines | Sufficient conditions | Image coding | Measurement standards | union of subspaces | Transform coding | Sampling methods | Robustness | Concrete | compressive sensing | Union of subspaces | Compressive sensing | Sparsity | Wavelet tree | Signal model | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Signal and communications theory | Sampling, quantization | Miscellaneous | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Information theory | Sensors | Research | Detector circuits (Telecommunications) | Information science | Algorithms | Simulation | Optimization | Compressibility | Computer simulation | Mathematical models | Detection | Sampling | Recovery
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10. Full Text Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
by Tropp, J.A and Laska, J.N and Duarte, M.F and Romberg, J.K and Baraniuk, R.G
IEEE transactions on information theory, ISSN 0018-9448, 01/2010, Volume 56, Issue 1, pp. 520 - 544
sampling theory | Data acquisition | Signal sampling | compressive sampling | signal recovery | Analog-to-digital conversion | Signal processing | sparse approximation | Sampling methods | Frequency | Hardware | Robustness | Performance analysis | Demodulation | Signal recovery | Sampling theory | Sparse approximation | Compressive sampling | Computer Science, Information Systems | Engineering, Electrical & Electronic | Engineering | Technology | Computer Science | Science & Technology | Signal and communications theory | Sampling, quantization | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Applied sciences | Information, signal and communications theory | Analog-digital conversion, digital-analog conversion, pcm coding | Detection, estimation, filtering, equalization, prediction | Information theory | Sampling (Acoustical engineering) | Digitization | Research | Frequencies | Simulation | Analog | Information processing | Sampling techniques | Mathematical programming | Demodulators | Programming | Strategy | Nonlinearity | Sampling | Conversion | Wideband
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11. Full Text Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements
by Laska, J. N and Zaiwen Wen and Wotao Yin and Baraniuk, R. G
IEEE transactions on signal processing, ISSN 1053-587X, 11/2011, Volume 59, Issue 11, pp. 5289 - 5301
consistent reconstruction | Atmospheric measurements | 1-Bit compressive sensing | trust-region algorithms | Quantization | Particle measurements | Hardware | Compressed sensing | Optimization | Convergence | quantization | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Signal and communications theory | Sampling, quantization | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Robust statistics | Usage | Analysis | Innovations | Signal processing | Mathematical optimization | Analog to digital converters | Studies | Acquisitions | Algorithms | Robustness | Recovery | Marketing
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12. Full Text JPEG compression history estimation for color images
by Neelamani, R and de Queiroz, R and Zhigang Fan and Dash, S and Baraniuk, R.G
IEEE transactions on image processing, ISSN 1057-7149, 06/2006, Volume 15, Issue 6, pp. 1365 - 1378
Algorithm design and analysis | Dictionaries | Lattices | Color | Quantization | History | Image coding | Transform coding | Joint Photographic Experts Group (JPEG) | lattice | recompression | Discrete cosine transforms | compression | Testing | Compression | Recompression | Lattice | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Sampling, quantization | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Signal representation. Spectral analysis | Detection, estimation, filtering, equalization, prediction | Computer Graphics | Colorimetry - methods | Data Compression - methods | Data Interpretation, Statistical | Algorithms | Computer Simulation | Image Interpretation, Computer-Assisted - methods | Signal Processing, Computer-Assisted | Image Enhancement - methods | Models, Statistical | Computer Communication Networks | Data compression | Analysis | Studies | Index Medicus | Chest | JPEG encoders-decoders | Compressing | Images | Image compression | Estimates
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13. Full Text Regime Change: Bit-Depth Versus Measurement-Rate in Compressive Sensing
by Laska, J. N and Baraniuk, R. G
IEEE transactions on signal processing, ISSN 1053-587X, 07/2012, Volume 60, Issue 7, pp. 3496 - 3505
Upper bound | Analog-to-digital conversion | compressed sensing | Measurement uncertainty | Quantization | Noise measurement | Distortion measurement | Signal to noise ratio | quantization | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Signal and communications theory | Sampling, quantization | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Applied sciences | Information, signal and communications theory | Analog-digital conversion, digital-analog conversion, pcm coding | Detection, estimation, filtering, equalization, prediction | Measurement | Finite element method | Usage | Digital signal processors | Innovations | Bandwidth | Signal processing | Studies | Compressing | Mathematical analysis | Banded structure | Compression tests | Quality control | Transaction processing | Detection
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14. Full Text Multiscale image segmentation using wavelet-domain hidden Markov models
by Choi, H and Baraniuk, R.G
IEEE transactions on image processing, ISSN 1057-7149, 09/2001, Volume 10, Issue 9, pp. 1309 - 1321
Wavelet transforms | Tree data structures | Image segmentation | Image texture | Wavelet domain | Tree graphs | Fuses | Bayesian methods | Hidden Markov models | Classification tree analysis | Wavelets | Texture modeling | Segmentation | Hidden Markov tree | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal processing | Applied sciences | Information, signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Markov processes | Research | Algorithms | Images | Surface layer | Mathematical models | Texture
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15. Effect of the use and timing of bone marrow mononuclear cell delivery on left ventricular function after acute myocardial infarction: The time randomized trial
by Traverse, Jay H and Henry, Timothy D and Pepine, Carl J and Willerson, James T and Zhao, David X. M and Ellis, Stephen G and Forder, John R and Anderson, R. David and Hatzopoulos, Antonis K and Penn, Marc S and Perin, Emerson C and Chambers, Jeffrey and Baran, Kenneth W and Raveendran, Ganesh and Lambert, Charles and Lerman, Amir and Simon, Daniel I and Vaughan, Douglas E and Lai, Dejian and Gee, Adrian P and Taylor, Doris A and Cogle, Christopher R and Thomas, James D and