All Stories

  1. Shot noise-mitigated secondary electron imaging with ion count-aided microscopy
  2. The Role of Detection Times in Reflectivity Estimation With Single-Photon Lidar
  3. Absorption-based hyperspectral thermal ranging: performance analyses, optimization, and simulations
  4. Progress in Secondary Electron Yield Mapping in Charged Particle Microscopy
  5. Fourier-ring Correlation Resolution for Time-resolved Measurement in Charged Particle Microscopy
  6. Non-line-of-sight snapshots and background mapping with an active corner camera
  7. Secondary electron count imaging in SEM
  8. Denoising Particle Beam Micrographs With Plug-and-Play Methods
  9. Continuous-Time Modeling and Analysis of Particle Beam Metrology
  10. MEGS: A Penalty for Mutually Exclusive Group Sparsity
  11. Addressing Neon Gas Field Ion Source Instability Through Online Beam Current Estimation
  12. Online Beam Current Estimation in Particle Beam Microscopy
  13. Compressively sampling the optical transmission matrix of a multimode fibre
  14. Non–line-of-sight imaging over 1.43 km
  15. High-flux single-photon lidar
  16. Time-Resolved Focused Ion Beam Microscopy: Modeling, Estimation Methods, and Analyses
  17. Two-Dimensional Non-Line-of-Sight Scene Estimation From a Single Edge Occluder
  18. Seeing around corners with edge-resolved transient imaging
  19. Dithered depth imaging
  20. Advances in Single-Photon Lidar for Autonomous Vehicles: Working Principles, Challenges, and Recent Advances
  21. Beyond Binomial and Negative Binomial: Adaptation in Bernoulli Parameter Estimation
  22. Beliefs in Decision-Making Cascades
  23. Dead Time Compensation for High-Flux Ranging
  24. Estimation From Quantized Gaussian Measurements: When and How to Use Dither
  25. Computational periscopy with an ordinary digital camera
  26. Improving Lidar Depth Resolution with Dither
  27. Quantum-inspired computational imaging
  28. Optimal Stopping Times for Estimating Bernoulli Parameters with Applications to Active Imaging
  29. Team Decision Making with Social Learning: Human Subject Experiments
  30. A Few Photons Among Many: Unmixing Signal and Noise for Photon-Efficient Active Imaging
  31. Hybrid Approximate Message Passing
  32. Photon-efficient super-resolution laser radar
  33. Malleable Coding for Updatable Cloud Caching
  34. Performance Analysis of Low-Flux Least-Squares Single-Pixel Imaging
  35. Computational single-photon depth imaging without transverse regularization
  36. Photon-efficient imaging with a single-photon camera
  37. Computational multi-depth single-photon imaging
  38. Single-Photon Depth Imaging Using a Union-of-Subspaces Model
  39. Photon-Efficient Computational 3-D and Reflectivity Imaging With Single-Photon Detectors
  40. First-Photon Imaging and Few-Photon Imaging
  41. Distributed Hypothesis Testing With Social Learning and Symmetric Fusion
  42. Computational 3D and reflectivity imaging with high photon efficiency
  43. Backward Adaptation for Power Efficient Sampling
  44. First-Photon Imaging
  45. Parametric Poisson process imaging
  46. Efficient Parametric Signal Estimation From Samples With Location Errors
  47. Mime
  48. Spatio-temporal regularization for range imaging with high photon efficiency
  49. Information in a photon: Relating entropy and maximum-likelihood range estimation using single-photon counting detectors
  50. Intersensor Collaboration in Distributed Quantization Networks
  51. Phase unwrapping and denoising for time-of-flight imaging using generalized approximate message passing
  52. Distributed Functional Scalar Quantization Simplified
  53. Rate loss in distributed functional source coding
  54. Social teaching: Being informative vs. being right in sequential decision making
  55. Sparsity-Promoting Calibration for GRAPPA Accelerated Parallel MRI Reconstruction
  56. Keep ballots secret: On the futility of social learning in decision making by voting
  57. Low-rate Poisson intensity estimation using multiplexed imaging
  58. High Photon Efficiency Computational Range Imaging using Spatio-Temporal Statistical Regularization
  59. A framework for Bayesian optimality of psychophysical laws
  60. Message-Passing De-Quantization With Applications to Compressed Sensing
  61. Ranked Sparse Signal Support Detection
  62. Chatting in distributed quantization networks
  63. Time-Stampless Adaptive Nonuniform Sampling for Stochastic Signals
  64. An Information-Theoretic Characterization of Channels That Die
  65. Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing
  66. Accelerated parallel magnetic resonance imaging reconstruction using joint estimation with a sparse signal model
  67. Hybrid generalized approximate message passing with applications to structured sparsity
  68. Benefits of collaboration and diversity in teams of categorically-thinking decision makers
  69. Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
  70. Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing
  71. CoDAC: A compressive depth acquisition camera framework
  72. CoDAC
  73. Diffuse Imaging: Creating Optical Images With Unfocused Time-Resolved Illumination and Sensing
  74. Denoising sparse images from GRAPPA using the nullspace method
  75. Exploiting sparsity in time-of-flight range acquisition using a single time-resolved sensor
  76. Energy-efficient Time-Stampless Adaptive Nonuniform Sampling
  77. Diffuse imaging: replacing lenses and mirrors with omnitemporal cameras
  78. Regularizing GRAPPA using simultaneous sparsity to recover de-noised images
  79. Scalar Quantization With Random Thresholds
  80. Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions
  81. Frame permutation quantization
  82. Malleable coding with fixed segment reuse
  83. Optimal quantization for compressive sensing under message passing reconstruction
  84. Multi-contrast reconstruction with Bayesian compressed sensing
  85. Bayesian Post-Processing Methods for Jitter Mitigation in Sampling
  86. Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space
  87. Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities
  88. Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities
  89. Evaluating sparsity penalty functions for combined compressed sensing and parallel MRI
  90. Scalar Quantization for Relative Error
  91. On the Estimation of Nonrandom Signal Coefficients From Jittered Samples
  92. Concentric Permutation Source Codes
  93. Extension of replica analysis to MAP estimation with applications to compressed sensing
  94. Generalized Regular Sampling of Trigonometric Polynomials and Optimal Sensor Arrangement
  95. Simultaneously Sparse Solutions to Linear Inverse Problems with Multiple System Matrices and a Single Observation Vector
  96. Necessary and Sufficient Conditions for Sparsity Pattern Recovery
  97. Compressed History Matching: Exploiting Transform-Domain Sparsity for Regularization of Nonlinear Dynamic Data Integration Problems
  98. Transform-domain sparsity regularization for inverse problems in geosciences
  99. Channels that die
  100. A sparsity detection framework for on-off random access channels
  101. A sparsity detection framework for on-off random access channels
  102. Malleable coding with edit-distance cost
  103. On concentric spherical codes and permutation codes with multiple initial codewords
  104. Optimal quantization of random measurements in compressed sensing
  105. Jitter compensation in sampling via polynomial least squares estimation
  106. Distributed Coding of Sparse Signals
  107. On the Accuracy and Resolution of Powersum-Based Sampling Methods
  108. Estimating Signals With Finite Rate of Innovation From Noisy Samples: A Stochastic Algorithm
  109. Specific absorption rate studies of the parallel transmission of inner-volume excitations at 7T
  110. Delay Estimation in the Presence of Timing Noise
  111. Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design
  112. On subspace structure in source and channel coding
  113. Causal Compensation for Erasures in Frame Representations
  114. Compressive Sampling and Lossy Compression
  115. High-Resolution Functional Quantization
  116. Sparsity in MRI RF excitation pulse design
  117. Fast slice-selective radio-frequency excitation pulses for mitigatingB+1 inhomogeneity in the human brain at 7 Tesla
  118. High-resolution distributed functional quantization
  119. Robust Predictive Quantization: Analysis and Design Via Convex Optimization
  120. Rate-Distortion Bounds for Sparse Approximation
  121. Integer Polar Coordinates for Compression
  122. On the Rate-Distortion Performance of Compressed Sensing
  123. Comparison of three algorithms for solving linearized systems of parallel excitation RF waveform design equations: Experiments on an eight-channel system at 3 Tesla
  124. On Universal Coding of Unordered Data
  125. Multichannel Sampling of Parametric Signals with a Successive Approximation Property
  126. Denoising Hyperspectral Imagery and Recovering Junk Bands using Wavelets and Sparse Approximation
  127. Denoising by Sparse Approximation: Error Bounds Based on Rate-Distortion Theory
  128. Causal and Strictly Causal Estimation for Jump Linear Systems: An LMI Analysis
  129. Signal Parameter Estimation in the Presence of Timing Noise
  130. Nonlinear transform coding: polar coordinates revisited
  131. Robust low-delay audio coding using multiple descriptions
  132. Iterative projective wavelet methods for denoising
  133. Multiple description coding with many channels
  134. Wave and equation based rate control using multicast round trip time
  135. Filter bank frame expansions with erasures
  136. Multiple description vector quantization with a coarse lattice
  137. Quantized Frame Expansions with Erasures
  138. Generalized multiple description coding with correlating transforms
  139. Multiple description coding: compression meets the network
  140. On optimal permutation codes
  141. Recursive consistent estimation with bounded noise
  142. Theoretical foundations of transform coding
  143. Transform coding with backward adaptive updates
  144. Multiple description perceptual audio coding with correlating transforms
  145. Transform coding with integer-to-integer transforms
  146. Quantized frame expansions as source-channel codes for erasure channels
  147. Multiple Descriptions
  148. Quantized overcomplete expansions in IR/sup N/: analysis, synthesis, and algorithms
  149. <title>Dependent coding in quantized matching pursuit</title>
  150. Quantized oversampled filter banks with erasures
  151. Toward a Source Coding Theory for Sets
  152. Optimized filtering and reconstruction in predictive quantization with losses
  153. Robust predictive quantization: a new analysis and optimization framework
  154. Wavelet denoising by recursive cycle spinning
  155. Successive refinement on trees: a special case of a new MD coding region
  156. Manipulating rates, complexity and error-resilience with discrete transforms
  157. Multiple description transform coding: robustness to erasures using tight frame expansions
  158. Optimal multiple description transform coding of Gaussian vectors
  159. Universal transform coding based on backward adaptation