Program
R1: Opening reception
P1: Yonina Eldar: Xampling at the Rate of Innovation: Correlations, Nonlinearities, and Bounds
MA1: Special Session: Applications of Statistical Signal Processing to Geophysical/Petrophysical Data Acquisition and Processing
- Analysis of Real Vector Fields on the Sphere Using Slepian Functions
- Incorporating Spatial Structure Into Hyperspectral Scene Analysis
- A Heuristic Bayesian Design Criterion for Imaging Resolution Enhancement
- Robust Detection of Weak Acoustic Signals in Noise Using Near Optimal Shrinkage in Radon Domain
- A Mixture of Experts Based Discretization Approach for Characterizing Subsurface Contaminant Source Zones
- A Localized Ensemble Kalman Smoother
- Approximate Message Passing Meets Exploration Seismology
- Reconstruction of Seismic Data Via Tensor Completion
MA2: Intentionally blank
MA3: Sparse Models and Applications I
- Maximum Likelihood Based Sparse and Distributed Conjoint Analysis
- Preprocessing for Classification of Sparse Data: Application to Trajectory Recognition
- Distributed Informative Sensor Determination Via Sparsity-Cognizant Matrix Decomposition
- Bayesian Hypothesis Test for Sparse Support Recovery Using Belief Propagation
- Exact Recovery of Low-rank Plus Compressed Sparse Matrices
- Correlation-Aware Techniques for Sparse Support Recovery
MA4: Estimation Theory I
- Sequential Bayesian Estimation with Censored Data
- Wiener Filtering of Rotation Processes Using Ordered Exponential
- Reducing the Gap Between Linear Biased Classical and Linear Bayesian Estimation
- Multifractal Analysis of Self-Similar Processes
- The Relationship Between Transfer Entropy and Directed Information
- An ESPRIT-Based Parameter Estimator for Spectroscopic Data
MA5: Array Signal Processing
- Robust Prior-based Direction of Arrival Estimation
- Steering Vector Estimation and Beamforming Under Uncertainties
- Uniform Rectangular Time Reversal Arrays: Joint Azimuth and Elevation Estimation
- Oblique Projection Beamforming for RFI Mitigation in Radio Astronomy
- An Iterative, Backscatter-Analysis Based Algorithm for Increasing Transmission Through a Highly-Backscattering Random Medium
- Fast Tests for the Common Causality of Time-Of-Arrival Events From Their Mutual Minkowski Distances
MA6: Signal Processing on Graphs
- Causal Conditioning and Instantaneous Coupling in Causality Graphs
- Graph Entropy Rate Minimization and the Compressibility of Undirected Binary Graphs
- Toward Matched Filter Optimization for Subgraph Detection in Dynamic Networks
- Dynamic Network Summarization Using Convex Optimization
- Dynamic Network Kriging
- Of the Largest Eigenvalue for Modularity-Based Partitioning
P2: Robert Ghrist: Topological signal processing
MB1: Special Session: Signal Processing Theory and Method on Graphs and Networks
- On Hard Limits of Eigen-Analysis Based Planted Clique Detection
- A Windowed Graph Fourier Transform
- Identifying Online Communities of Interest Using Side Information
- Graph-Wavelet Filterbanks for Edge-Aware Image Processing
- Transitivity Matrix of Social Network Graphs
MB2: Special Session: Value of Information and Distributed Signal Processing I
- A Comparison of Information Theoretic Functions for Tracking Maneuvering Targets
- Multistage Adaptive Estimation of Sparse Signals
- An Obfuscation Framework for Controlling Value of Information During Sharing
- Active Learning for Large-Scale Factor Analysis
- Diffusion LMS for Source and Process Estimation in Sensor Networks
- A Gossip-based Distributed Processing Algorithm for Multiple Transmitter Localization
MB3: Sparse Models and Applications II
- Efficient Block and Time-Recursive Estimation of Sparse Volterra Systems
- Equivalence of Synthesis and Atomic Formulations of Sparse Recovery
- Discriminative Sparse Image Representation for Classification Based on a Greedy Algorithm
- Matrix ALPS: Accelerated Low Rank and Sparse Matrix Reconstruction
- Fast OMP: Reformulating OMP Via Iteratively Refining L2-Norm Solutions
- Estimating Period From Sparse, Noisy Timing Data
MB4: Adaptive Systems and Signal Processing I
- Bayesian Estimation of Forgetting Factor in Adaptive Filtering and Change Detection
- Subband Adaptive Convex Combination of Two NLMS Based Filters for Sparse Impulse Response Systems
- Adaptive Filtering in the Presence of Outliers
- LMS in Prominent System Subspace for Fast System Identification
- Adaptive Filtering for Lightning Electric Field (LEF) Signals in Fractional Fourier Domain
- Boosting Quantization for Lp Norm Distortion Measure
MB5: Imaging Theory and Methods
- Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model
- Alternating Minimization Approach for Multi-frame Image Reconstruction
- Regularized Hyperalignment of Multi-set fMRI Data
- fMRI Activation Detection Using a Variant of Akaike Information Criterion
- The Value of Multispectral Observations in Photon-Limited Quantitative Tissue Analysis
- Nonparametric Methods for Full-Waveform Ladar Images
MB6: Monte Carlo Methods
- Bayesian Model Comparison Via Path-Sampling Sequential Monte Carlo
- Distributed State Estimation for Large-scale Nonlinear Systems: A Reduced Order Particle Filter Implementation
- Joint Bayesian Decomposition of a Spectroscopic Signal Sequence with RJMCMC
- Implementation of the Daum-Huang Exact-Flow Particle Filter
- Estimation of Posterior Distributions with Population Monte Carlo Sampling and Graphical Modeling
MC1: Special Session: Distributed Synchronization, Localization and Beamforming
- Reference-Aided Distributed Transmit Beamforming with Mobile Radios
- Receiver-Coordinated Zero-Forcing Distributed Transmit Nullforming
- Initial Over-the-Air Performance Assessment of Ranging and Clock Synchronization Using Radio Frequency Signal Exchange
- Frequency Estimation in the Presence of Cycle Slips: Filter Banks and Error Bounds for Phase Unwrapping
- A Distributed Consensus Approach to Synchronization of RF Signals
- Loss Characterization of Distributed Space-Time Transmit Beamforming with Embedded Channel Probing
MC2: Special Session: Value of Information and Distributed Signal Processing II
- Sensor Selection in Adversarial Setting
- The Value of Information in Constrained Parametric Models
- Maximum-entropy Surrogation in Network Signal Detection
- Theoretical Guarantees on Penalized Information Gathering
- On-Line Gossip-Based Distributed Expectation Maximization Algorithm
- Correlated Observations in Distributed Detection Systems
- Diffusion Networks Outperform Consensus Networks
MC3: Sparse Models and Applications III
- Non-Line-of-Sight Localization Using Low-rank + Sparse Matrix Decomposition
- Sparse FIR Estimation of Low-Order Systems
- A Generalized Framework for Learning and Recovery of Structured Sparse Signals
- Sample Complexity of Salient Feature Identification for Sparse Signal Processing
- Localization and Bearing Estimation Via Structured Sparsity Models
- Beyond L1-Norm Minimization for Sparse Signal Recovery
MC4: Adaptive Systems and Signal Processing II
- Theoretical Discussion of the Filtered-X LMS Algorithm Based on Statistical Mechanical Analysis
- Extended UFIR Filtering of Nonlinear Models Corrupted by White Gaussian Noise
- Studies of Optimal Memory for Discrete-Time FIR Filters in State-Space
- Lag-Recursive Estimation of the Average Autocorrelation of an Arbitrarily Time-Variant System Response
MC5: Speech Signal Processing
- Speech Enhancement Combined with Dereverberation and Acoustic Echo Reduction for Time Varying Systems
- A New Regularized TVAR-based Algorithm for Recursive Detection of Nonstationarity and Its Application to Speech Signals
- Phase Difference of Filter-stable Part-tones as Acoustic Feature
- BaNa: A Hybrid Approach for Noise Resilient Pitch Detection
- Audio Forensics Using Acoustic Environment Traces
MC6: Information Forensics and Security
- Probabilistic Reasoning for Streaming Anomaly Detection
- Relay Selection and Scaling Law in Destination Assisted Physical Layer Secrecy Systems
- System State Estimation in the Presence of False Information Injection
- Outage Constrained Secrecy Rate Maximization Using Cooperative Jamming
- New Statistic in P-value Estimation for Anomaly Detection
P3: Robert Nowak: Adaptive Sensing and Active Learning
TA1: Special Session: Challenges in High-Dimensional Learning
- The Performance of Deterministic Matched Subspace Detectors When Using Subspaces Estimated From Noisy, Missing Data
- Sequentially Designed Compressed Sensing
- Sensing Aware Dimensionality Reduction for Nearest Neighbor Classification of High Dimensional Signals
- Fast Global Convergence of Gradient Methods for Solving Regularized M-estimation
- Simple Algorithms for Sparse Linear Regression with Uncertain Covariates
- Greedy Dirty Models: A New Algorithm for Multiple Sparse Regression
TA2: Intentionally Blank
TA3: Biological and Biomedical Applications
- Muscle Activity Detection From Myoelectric Signals Based on the AR-GARCH Model
- A Wavelet Clustering Technique for the Identification of Functionally Connected Regions in the Rat Brain Using Resting State fMRI
- Comparison of Gaussian Process Models for Single-Trial Event-Related Potentials
- Accelerated Time-of-Flight Mass Spectrometry
- Describing the Structure of a Macro Molecular Complex as a Random Signal in Noise and a Maximum Likelihood Reconstruction
- EEG Signal Classification with Super-Dirichlet Mixture Model
- Classification of EEG Recordings Without Perfectly Time-Locked Events
TA4: Estimation Theory II
- Charrelation-Based Estimation of the Parameters of Non-Gaussian Autoregressive Processes
- SURE-based Blind Gaussian Deconvolution
- A Statistical Inference Method for a Subset of Long-range Dependent FARIMA Processes
- Linearity Conditions for Optimal Estimation From Multiple Noisy Measurements
- A Two-Stage Denoising Filter: The Preprocessed Yaroslavsky Filter
- Analytical Precision Limits in Slitless Spectroscopy
TA5: Communication Systems I
- Bayesian Sparse Channel Estimation and Tracking
- Parameter Estimation Techniques for Polynomial Phase and Phase Coded Waveforms in Multi-Channel Systems
- Power Allocation for Distributed Detection in a Multiple-Ring Cluster
- Particle Filtering Based Data Detection in a Flat-Fading Relay-Based Communication System
- MIMO Broadcast DFE Transceiver Design with Bit Allocation Under QoS Constraints
- The Density of Costas Arrays and Three-Free Permutations
- Random Jitter Beamforming for Point-and-Link Communications
- On the Distribution of Valid Pages with Greedy Garbage Collection for NAND Flash
TA6: Sensor Networks I
- Resolving a Variable Number of Hypotheses with Multiple Sensors
- Radio Frequency Tomography in Mobile Networks
- Temporally Staggered Sensing for Field Estimation with Quantized Data in Wireless Sensor Networks
- Least Favorable Distributions for the Design of Sensor Detection Systems in Non-Circular Regions of Interest
- How Valid is the Regularly-Spaced Grid Assumption in RSS Source Localization Sensor Networks?
- Full Order Distributed Particle Filters for Intermittent Connections: Feedback From Fusion Filters to Local Filters Improves Performance
- Continuous-time Distributed Estimation with Asymmetric Mixing
P4: Persi Diaconis: Adding numbers and determinental point processes
TB1: Special Session: Radar Applications of Compressive Sensing
- Multistatic RADAR Change Detection Using Sparse Imaging Methods
- Reusable Low-Error Compressive Sampling Schemes Through Privacy
- Compressive Sensing and 3-D Radar Imaging
- Minimum L1 Norm SAR Image Formation
- Compressed Sensing for MIMO RADAR: A Stochastic Perspective
TB2: Special Session: Signal Processing for Complex Biological Systems and Large-Scale Omics Data I
- Analyzing Pathway Design From Drug Perturbation Experiments
- A Non-parametric Bayesian Clustering for Gene Expression Data
- Inference of Genetic Regulatory Networks Using Regularized Likelihood with Covariance Estimation
- Optimal Classifiers Within a Bayesian Framework
- Optimal Cancer Therapy Based on a Tumor Growth Inhibition Model
- Gene Deletion Data Based Genomic Regulatory Network Inference
TB3: Compressive Sensing I
- Compressive Subspace Fitting for Multiple Measurement Vectors
- The Restricted Isometry Property for Echo State Networks with Applications to Sequence Memory Capacity
- Online Search Orthogonal Matching Pursuit
- Optimal Estimation with Arbitrary Error Metrics in Compressed Sensing
- Null Space Tuning Based Algorithms for Sparse Representation and Compressed Sensing
- Compressive Demodulation of Mutually Interfering Signals
TB4: Machine Learning and Pattern Recognition I
- Efficient Batch-Mode Active Learning of Random Forest
- One-class Machines Based on the Coherence Criterion
- Dictionary Adaptation for Online Prediction of Time Series Data with Kernels
- Hierarchical Clustering Using Randomly Selected Measurements
- k-Subspaces with Missing Data
- A Combined Approach to Multi-label Multi-task Learning
- Multiscale Online Tracking of Manifolds
TB5: Sensor Networks II
- Multi-sensor Networked State Estimation with Delayed and Irregularly-spaced Observations
- Almost Sure Convergence of Consensus Algorithms by Relaxed Projection Mappings
- Bounded Confidence Opinion Dynamics with Network Constraints and Localized Distributed Averaging
- Energy-Efficient Quickest Change Detection in Sensor Networks
- Collaborative Sensor Scheduling for Space Situational Awareness
- Channel-aware M-ary Distributed Detection: Optimal and Suboptimal Fusion Rules
- Distributed Pareto-Optimal Solutions Via Diffusion Adaptation
TB6: Time-Frequency Analysis
- A New Non-redundant Complex Hilbert Wavelet Transforms
- Some Comments on Multitaper Estimates of Autocorrelation
- Multicomponent Signal Denoising with Synchrosqueezing
- Reverberant Speech Separation Based on Audio-visual Dictionary Learning and Binaural Cues
- Exploiting Correlated Discriminant Features in Time Frequency and Space for Characterization and Robust Classification of Image RSVP Events with EEG Data
TC1: Special Session: Statistical Signal Processing and the Engineering of Materials
- Application of FIB/SEM/EDXS Tomographic Spectral Imaging and Multivariate Statistical Analysis to the Analysis of Localized Corrosion
- Bayesian Image Segmentation of Transmission Electron Tomography 3D Reconstructions
- Bayesian Tomographic Reconstruction for High Angle Annular Dark Field (HAADF) Scanning Transmission Electron Microscopy (STEM)
- Discrete Image Reconstruction for Material Quantification
- Joint Deconvolution/Segmentation of Microscope Images of Materials
TC2: Special Session: Signal Processing for Complex Biological Systems and Large-Scale Omics Data II
- Base Calling Error Rates in Next-Generation DNA Sequencing
- Causal Compressive Sensing for Gene Network Inference
- Basis-Expansion Factor Models for Uncovering Transcription Factor Regulatory Network
- Joint State and Parameter Estimation for Boolean Dynamical Systems
- Statistical Assessment of Gene Fusion Detection Algorithms Using RNA Sequencing Data
- Adaptive Experimental Design for Drug Combinations
TC3: Compressive Sensing II
- Restricted Isometry Property in Coded Aperture Compressive Spectral Imaging
- Compressive LADAR in Realistic Environments
- Subspace Detection of High-Dimensional Vectors Using Compressive Sampling
- Near-Isometric Linear Embeddings of Manifolds
- Grouped Incoherent Measurements for Compressive Sensing
- Compressive Asynchronous Decomposition of Heart Sounds
TC4: Machine Learning and Pattern Recognition II
- Regularized Joint Density Estimation for Multi-Instance Learning
- An Asymptotically Convex Approach to Discriminative Coding
- A Bootstrap Interval Estimator for Bayes' Classification Error
- Learning Kernel Combination From Noisy Pairwise Constraints
- Real Adaboost for Content Identification
- Estimating Intrinsic Dimension Via Clustering
TC5: Radar Signal Processing I
- Maneuvering Target Tracking Based on SDE Driven by GARCH Volatility
- A Graphical Model Representation of the Track-Oriented Multiple Hypothesis Tracker
- A Track-Before-Detect Procedure for Sparse Data
- MIMO Radar Detection with Heterogeneous Propagation Losses
- Theoretical Multidimensional Resolution Limit for MIMO Radar Based on the Chernoff Distance
TC6: Computer Systems and Networks
- Mapping Equivalence Under Iterative Dynamics for Symbolic Sequences
- Probabilistic Graphical Model for Flash Memory Programming
- Detection Performance of M-ary Relay Trees with Non-binary Message Alphabets
- Estimation of Flow Distributions Tails From Sampled Traffic
R2: Banquet Reception
B1: Banquet
P5: Yoram Bresler: The invention of Compressive Sensing and Recent Results: from Spectrum-Blind Sampling and Image Compression on the Fly to New Solutions with Realistic Performance Guarantees
P6: Randy Moses: Radar Signal Processing
WA1: Special Session: Applications of Random Matrix Theory in Underwater Acoustic Signal Processing
- The Performance of MUSIC-based DOA in White Noise with Missing Data
- Passive Acoustic Monitoring Using Random Matrix Theory
- Analytical Characterization of the MPDR-based Power Estimators in Snapshot Scarce Regime
- Mean Squared Error Performance of Adaptive Matched Field Localization Under Environmental Uncertainty
- Experimental Validation of a Random Matrix Theory Model for Dominant Mode Rejection Beamformer Notch Depth
- A Random Matrix Theory Model for the Dominant Mode Rejection Beamformer Notch Depth
- Approximate Eigenvalue Distribution of a Cylindrically Isotropic Noise Sample Covariance Matrix
WA2: Intentionally Blank
WA3: Communication Systems II
- Quantized Network Coding for Sparse Messages
- On the Design of Fractional Frequency Reuse in Cellular Wireless Systems
- Time-Domain Impulse Injection Method for Crest Factor Reduction of OFDM Signals
- Robust Interference Channel Transmission Using Sparsity Enhanced Mismatch Model
- Optimal SIMO MLSE Receivers for the Detection of Linear Modulation Corrupted by Noncircular Interference
- Branch and Bound Algorithm for Code Spread OFDM
- Fast Adaptive Decision-Selection Equalizer Convergence Using a Tree-Structured Algorithm
WA4: Radar Signal Processing II
- Improved Variational Inference for Tracking in Clutter
- Test Statistics for Synthetic Aperture Radar Coherent Change Detection
- Time Reversal MIMO Radar for Angle-Doppler Estimation
- Waveform Scheduling Via Directed Information in Cognitive Radar
- Performance Comparison of Airborne Phased- Array and MIMO Radar with Subarrays
- Coordinating Complementary Waveforms Across Time and Frequency
WA5: Multivariate Statistical Analysis
- Optimal Linear Correction in LMMSE Estimation Using Moments of the Complex Inverse Wishart Distribution
- Nonparametric Low-Rank Tensor Imputation
- On the Convexity in Kronecker Structured Covariance Estimation
- Kronecker Graphical Lasso
- Hyperspherical Phase Synchrony for Quantifying Multivariate Phase Synchronization
- Overcoming Noise, Avoiding Curvature: Optimal Scale Selection for Tangent Plane Recovery
- Non-Parametric Prediction of the Mid-Price Dynamics in a Limit Order Book
WA6: Detection Theory
- Signal Classification by Power Spectral Density: An Approach Via Riemannian Geometry
- Decision Trees for Heterogeneous Dose-Response Signal Analysis
- A Selection Criterion for Piecewise Stationary Long-Memory Models
- Statistical Detection of LSB Matching in the Presence of Nuisance Parameters
- Detection of Gaussian Signals in Unknown Time-Varying Channels
- Two Stage Decision System
GP: Government Panel Session, Panel organizer: Liyi Dai, ARO
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