yusuke1997/dblp-id-title huggingface dataset:
Online estimation of MGGD: the Riemannian Averaged Natural Gradient method
MIMO radar signal processing for distributed phased arrays
Computing active subspaces efficiently with gradient sketching
Particle filtering with progressive Gaussian approximations to the optimal importance density
A bootstrapped sequential probability ratio test for signal processing applications
Efficient and scalable demand response for the smart power grid
A track-before-detect algorithm with successive track cancellation
Blind Maximum Likelihood Jade in Multipath Environement Using Importance Sampling
Intentional islanding of power grids with data depth
A comparison of iterative and DFT-Based polynomial matrix eigenvalue decompositions
Age-of-Information Minimization in Two-User Multiple Access Channel with Energy Harvesting
Time-delay and Doppler-shift based geolocation in the presence of outliers
Energy-harvesting for source-channel coding in cyber-physical systems
Aperture varying autoregressive covariance modeling for 2D oversampled receive arrays
Distributed spectrum sensing in cognitive radios via graphical models
Dynamic structural equation models for tracking topologies of social networksy
A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model
An Underparametrized Deep Decoder Architecture for Graph Signals
Estimation of Covariance Matrix Distances in the High Dimension Low Sample Size Regime
Stochastic graph filtering on time-varying graphs
Channel estimation for hybrid multi-carrier mmwave MIMO systems using three-dimensional unitary esprit in DFT beamspace
Robust joint optimization of MIMO interfering relay channels with imperfect CSI
Local strong convexity of maximum-likelihood TDOA-Based source localization and its algorithmic implications
Greedy sensor selection for non-linear models
Robust, Sparse and Scalable Inference Using Bootstrap and Variable Selection Fusion
Cyclostationary detection from sub-Nyquist samples for Cognitive Radios: Model reconciliation
Joint CFO and channel estimation in millimeter wave systems with one-bit ADCs
Quaternion Non-negative Matrix Factorization: a new tool for spectropolarimetric imaging
Duty cycling and power management with a network of energy harvesting sensors
Opportunistic routing under unknown stochastic models
Experiments with cognitive radar
Rapid Waveform Design Through Machine Learning
A multitarget range-azimuth tracker for maritime applications
Marginalizing Gaussian process hyperparameters using sequential Monte Carlo
PU matrix completion with graph information
Phasor state estimation from PMU measurements with bad data
Optimisation geometry and its implications for optimisation algorithms
Polynomial Escape-Time from Saddle Points in Distributed Non-Convex Optimization
Distributed sketched subspace clustering for large-scale datasets
A general class of recursive minimum variance distortionless response estimators
Probabilistic PCA for Heteroscedastic Data
Coded aperture design for super-resolution compressive X-ray tomography
Preserving Privacy in Distributed LASSO
Bayesian Joint Localization and Tracking Algorithm Using Multiple-Input Multiple-Output Radar
Detection of Modeling Misspecification Using Cross-Entropy Test
Monitoring disturbances in smart grids using distributed sequential change detection
Coupled Matrix Tensor Factorization via a Semi-Algebraic Solution Based on Simultaneous Matrix Diagonalization (SECSI -CMTF)
Self-Interference Aware Codebook Design for Full-Duplex Joint Sensing and Communication Systems at Mmwave
Enhanced Capon beamformer using regularized covariance matching
Bandlimited or constant envelope? Exploiting waveform properties in Wireless Microphone detection
Sparse Graph Signal Recovery by the Graph-Based Multiple Generalized Information Criterion (GM-GIC)
Soft extrapolation of bandlimited functions
Optimization framework for baseband functionality splitting in C-RAN
Adaptive Gaussian mixture learning in distributed particle filtering
Fully distributed auction algorithm for spectrum sharing in unlicensed bands
Known-interference aware iterative MMSE filter design for non-regenerative multi-way relaying
Efficient target tracking using mobile sensors
Equivalency of MSE- and Rate-Constrained Power Optimization Methods for Distributed Beamforming
Discrete prolate spheroidal sequence based filter banks for the analysis of nonstationary signals
Illuminator of opportunity selection for passive radar
Sparsity-Based cholesky factorization and its application to hyperspectral anomaly detection
Bayesian social learning with decision making in multiple rounds
Compressing Neural Networks with Two-Layer Decoupling
A semismooth Newton method for adaptive distributed sparse linear regression
Multi-agent mirror descent for decentralized stochastic optimization
Radar detection and range estimation of a point-like target in non-Gaussian, possibly correlated, noise
Multi-Rank Sparse and Functional PCA Manifold Optimization and Iterative Deflation Techniques
Control and prediction of beliefs on social network
Multidimensional low-rank filter based on the AU-HOSVD for MIMO STAP
Metric Learning for Semi-Supervised Sparse Source Separation with Spectral Examples
Generalized Combinatorial Approach Using Single Filter Basis for Convolutional Sparse Modeling
EEG source localization based on a structured sparsity prior and a partially collapsed Gibbs sampler
Geolocation with Graph-Based Model Fitting
Recursive estimation of time-varying RSS fields based on crowdsourcing and Gaussian processes
Joint-sparse recovery in compressed sensing with dictionary mismatch
Analysis of MRC for Mixed-ADC massive MIMO
Source separation and distributed sensing: The key for an efficient monitoring
Two-hop communication with energy harvesting
Joint low-rank and sparse based image reconstruction for through-the-wall radar imaging
Understanding the role of positive constraints in sparse bilinear problems
Performance comparison of randomized gossip, broadcast gossip and collection tree protocol for distributed averaging
A fast algorithm based on a sylvester-like equation for LS regression with GMRF prior
A Robust High-Dimensional Bayesian Filter: THE Stochastic GH-GEnKF
Concentration of the Matrix-Valued Minimum Mean-Square Error in Optimal Bayesian Inference
Performance analysis of direction-of-arrival estimation using the decentralized root-MUSIC
Asymptotic analysis and consistent estimation of high-dimensional Markowitz portfolios
Multiantenna spectrum sensing of a second-order cyclostationary signal
Sparse iterative adaptive approach with application to source localization
Logistic Regression with Robust Bootstrapping
Nonnegative Structured Kruskal Tensor Regression
Learning from Heterogeneous Data with Deep Gaussian Processes
Graph Neural Networks for Predicting Protein Functions
Near maximum-likelihood detector with one-bit ADCs for multiuser massive MIMO systems
A Study on Tensor and Matrix Models for Super-Resolution Fluorescence Microscopy
STARK: Structured dictionary learning through rank-one tensor recovery
Joint Estimation of Trajectory and Dynamics from Paired Comparisons
Multiple sigma-point Kalman smoothers for high-dimensional state-space models
Distributed precoding and user selection in MIMO interfering networks
Minimum variance portfolio optimization in the spiked covariance model
Quality of service management for a multi-mission radar network
A decentralized prediction-correction method for networked time-varying convex optimization
Joint Sparse Recovery of Misaligned Multimodal Images via Adaptive Local and Nonlocal Cross-Modal Regularization
Hand Movement Velocity Estimation From WiFi Channel State Information
Generalized approximate message passing estimation from quantized samples
Sparsity-enforced regression based on over-complete dictionary
Performance of free-space tomographic imaging approximation for shallow-buried target detection
Broadband dispersion extraction of borehole acoustic modes via sparse Bayesian learning
On canonical polyadic decomposition of overcomplete tensors of arbitrary even order
Reconstruction of compressively sampled images using a nonlinear Bayesian prior
Design of optimum sparse array for robust MVDR beamforming against DOA mismatch
Improved Proportionate Least Mean Square/Fourth Based Channel Equalization for Underwater Acoustic Communications
Fuse: A fast multi-band image fusion algorithm
5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013, St. Martin, France, December 15-18, 2013
Error exponents for bias detection of a correlated process over a MAC fading channel
A computationally efficient robust adaptive beamforming for general-rank signal model with positive semi-definite constraint
Nonlinear least squares algorithm for canonical polyadic decomposition using low-rank weights
Efficient computation of the pareto boundary for the two-user MISO interference channel with multi-user decoding capable receivers
RIS-Assisted Joint Preamble Detection and Localization
Distributed nonconvex optimization over networks
Wave equation receiver deghosting
Particle filtering with transformed weights
Joint Maximum a Posteriori - Maximum Likelihood Estimator for Linear Discrete- Time Systems
Static field estimation using a wireless sensor network based on the finite element method
A consensus/fusion based distributed implementation of the particle filter
Earth-Mover's distance as a tracking regularizer
Multi-way functional principal components analysis
Boundedness of modified multiplicative updates for nonnegative matrix factorization
A Passive EKF-Based RIS-Aided Cellular Navigation System
The Informed Elastic Net for Fast Grouped Variable Selection and FDR Control in Genomics Research
Distributed optimization via diffusion adaptation
Bayesian selection of models of network formation
DOA estimation using sparse vector sensor arrays
A glance on geographical positioning
Beam Management Solution Using Q-Learning Framework
Phase Transitions in the Dynamic Mode Decomposition Algorithm
Algorithms for estimation of low-rank matrices with triple Kronecker structured singular vectors
Balanced Least Squares: Linear model estimation with noisy inputs
Distributed stochastic pricing for sum-rate maximization in femtocell networks with random graph and quantized communications
Power grid probing for load learning: Identifiability over multiple time instances
GenS: A new conflict-free link scheduler for next generation of wireless systems
K-Subspaces for Sequential Data
Location based Social Network analysis using Tensors and Signal Processing tools
Cyclostationary feature detection from sub-Nyquist samples
Power allocation in two-hop amplify-and-forward MIMO relay systems with QoS requirements
Decentralized multi-cell beamforming with QoS guarantees via large system analysis
Dynamic topology adaptation for distributed estimation in smart grids
Performance analysis of least-squares khatri-rao factorization
A novel iterative convex approximation method
Global convergence of a modified HALS algorithm for nonnegative matrix factorization
Coherent MIMO radar imaging with model-aware block sparse recovery
Graph topology recovery for regular and irregular graphs
Information distances for radar resolution analysis
Iterative prewhitening for multidimensional harmonic retrieval: New variants and comparative study
Generalized tensor contraction with application to khatri-rao coded MIMO OFDM systems
Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs
Adaptive ADMM in distributed radio interferometric calibration
Performance Bounds for Coupled CP Model in the Framework of Hyperspectral Super-Resolution
Speckle reducing diffusion for ultrasound image enhancement using the structural similarity image measure
A Sequential Monte Carlo Method for Parameter Estimation in Nonlinear Stochastic PDE's with Periodic Boundary Conditions
Estimating frequency of three-phase power systems via widely-linear modeling and total least-squares
Distributed optimal power flow using feasible point pursuit
Efficient Data Processing for Coded Aperture Snapshot Spectral Imager Systems
Stochastic programming for energy planning in microgrids with renewables
A beamforming approach to imaging of stationary indoor scenes under known building layout
Weighted sum rate maximization for non-regenerative multi-way relay channels with multi-user decoding
9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2023, Herradura, Costa Rica, December 10-13, 2023
One-Bit compressive sampling with time-varying thresholds for multiple sinusoids
Asymptotically optimal narrowband signal detection using uniform linear array antenna
Parameter estimation in block term decomposition for noninvasive atrial fibrillation analysis
Anomaly detection and estimation in hyperspectral imaging using Random Matrix Theory tools
Blind multi-path elimination by sparse inversion in Through-The-Wall-Imaging
Low rank matrix recovery for joint array self-calibration and sparse model DoA estimation
Invariant target detection of MIMO radar with unknown parameters
Spectral Shrinkage of Tyler's $M$-Estimator of Covariance Matrix
Permutation enhanced parallel reconstruction for compressive sampling
Going beyond linear dependencies to unveil connectivity of meshed grids
Probability Mass Function Estimation Approaches with Application to Flow Cytometry Data Analysis
False-alarm regulation for target detection in hyperspectral imaging
A parallel resampling scheme and its application to distributed particle filtering in wireless networks
The non degenerate source condition: Support robustness for discrete and continuous sparse deconvolution
Statistical approaches for personal feature extraction from pressure array sensors
PDR and LRMAP detection tests applied to massive hyperspectral data
Massive MIMO downlink 1-bit precoding for frequency selective channels
Breaking the Curse of Dimensionality for Coupled Matrix-Tensor Factorization
Regularized LMS and diffusion adaptation LMS with graph filters for non-stationary data
Super-Resolution of complex exponentials from modulations with known waveforms
Reconstruction of a Generalized Joint Sparsity Model using Principal Component Analysis
Iterative Interpolated Beamforming for Exploiting Full Degrees-of-Freedom in DOA Estimation with Co-Prime Arrays
Wavelet-Based Detection and Estimation of Fractional Lévy Signals in High Dimensions
Factor Graph Processing for Dual-Blind Deconvolution at ISAC Receiver
Real-Time 3D Color Imaging with Single-Photon Lidar Data
Particle filtering for high-dimensional systems
Higher-Order Tensor-Based Joint Transmit/Receive Beamforming and IRS Optimization
Low-complexity robust data-dependent dimensionality reduction based on joint iterative optimization of parameters
Distributed Change Detection in Streaming Graph Signals
Recovery of Real-Valued Sparse Models in the Multi-Dimensional Spectral Domain
Iterated multiple particle filtering
Adaptive strategy for restricted-sampling noisy low-rank matrix completion
Compressive angular and frequency periodogram reconstruction for multiband signals
A stochastic proximal point algorithm: convergence and application to convex optimization
On non-differentiable time-varying optimization
The Geometric Effects of Distributing Constrained Nonconvex Optimization Problems
Optimal beamforming for range-doppler ambiguity suppression in squinted SAR systems
Robust-COMET for covariance estimation in convex structures: Algorithm and statistical properties
A Block Coordinate Descent Algorithm for Sparse Gaussian Graphical Model Inference with Laplacian Constraints
Adaptive underlay cognitive radios with imperfect CSI and probabilistic interference constraints
Learning a common dictionary over a sensor network
Cognitive antenna selection for optimal source localization
Wavefront Engineering With Reconfigurable Intelligent Surfaces for Improved Sensing Capabilities in The THz Band
A distributed spring model algorithm for sensor localization using dimension expansion and hyperbolic tangential force
Maximally economic sparse arrays and cantor arrays
Decentralized Array Processing with Application to Cooperative Passive Radar
Weiss-Weinstein bound for change-point estimation
RSS-based sensor network localization in contaminated Gaussian measurement noise
Nonnegative matrix factorization with regularization and sparsity-enforcing terms
A convex approach to blind deconvolution with diverse inputs
Pilot-Based Uplink Power Control in Single-UE Massive MIMO Systems with 1-BIT ADCS
Structure-Exploiting variational inference for recurrent switching linear dynamical systems
Memory-Limited stochastic approximation for poisson subspace tracking
A particle-based approach for topology estimation of gene networks
Recent trends and findings in cognitive radar
Dynamical System Implementations of Sparse Bayesian Learning
Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo
Sparse reconstruction of multi-component Doppler signature exploiting target dynamics
Sparse array imaging using low-rank matrix recovery
Adaptive channel selection for DOA estimation in MIMO radar
Node Copying for Protection Against Graph Neural Network Topology Attacks
IMM Without a match
Enabling Energy-Efficiency in Massive-MIMO: A Scalable Low-Complexity Decoder for Generalized Quadrature Spatial Modulation
Uniqueness Result and Algebraic Algorithm for Decomposition into Multilinear Rank- $(M_{r}, N_{r}, \cdot)$ Terms and Joint Block Diagonalization
Transmit and receive filter optimization for wideband MIMO radar
A Robust Genetic Algorithm for Feature Selection and Parameter Optimization in Radar-Based Gait Analysis
Adaptive waveform design for target enumeration in cognitive radar
A method for 3D direction of arrival estimation for general arrays using multiple frequencies
ANM-PhaseLift: Structured line spectrum estimation from quadratic measurements
Redistribution Networks for Resampling
Multi-node joint communication and radar using synchronization signals in 5G
Diffusion in networks by cooperative particle filtering
Detection and tracking of systematic time-evolving failures in sensor networks
A New Polar-Domain Dictionary Design for the Near-Field Region of Extremely Large Aperture Arrays
Efficient Joint Radar and Communication Exploiting Sparsity and Spatial Modulation
Adaptive target tracking using multistatic sensor with unknown moving transmitter positions
Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering
Multipath mitigation using OMP and newton's method for multi-antenna GNSS receivers
Adaptive Coded Aperture Design by Motion Estimation using Convolutional Sparse Coding in Compressive Spectral Video Sensing
Multi-Target Tracking with Transferable Convolutional Neural Networks
Adaptive hybrid precoding and combining in MmWave multiuser MIMO systems based on compressed covariance estimation
A Novel Sensing Matrix Design for Compressed Sensing via Mutual Coherence Minimization
Extension of the "Sequentially Drilled" Joint Congruence transformation (SeDJoCo) problem
Hyperspectral Super-Resolution: A Coupled Nonnegative Block-Term Tensor Decomposition Approach
Spatial whitening framework for distributed estimation
Projection Back onto Filtered Observations for Speech Separation with Distributed Microphone Array
Wideband direction of arrival estimation using nested arrays
Sparse sound field decomposition with parametric dictionary learning for super-resolution recording and reproduction
Lost without a compass: Nonmetric triangulation and landmark multidimensional scaling
Mismatched Estimation of Polynomially Damped Signals
Robust Training for RSSI-Based Localization
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications
Multi-Target localization in asynchronous MIMO radars using sparse sensing
Identification of kronecker-structured dictionaries: An asymptotic analysis
Exploiting structured sparsity in Bayesian experimental design
Constrained ML estimation of structured covariance matrices with applications in radar STAP
Multimodal Graph-Based Fusion to Enhance Satellite Image Resolution
Locally Low-Rank tensor regularization for high-resolution quantitative dynamic MRI
Population Monte Carlo schemes with reduced path degeneracy
Uplink block diagonalization for massive MIMO-OFDM systems with distributed antennas
Interference Exploitation-Based Hybrid Precoding with Low-Resolution DACs
Compact Order Polynomial Singular Value Decomposition of a Matrix of Analytic Functions
Low-Complexity and High-Performance Combiners for Over the Air Computing
Performance comparison of hybrid and digital beamforming with transmitter impairments
Block term decomposition with rank estimation using group sparsity
Array Calibration Using Neural Networks
Non-centralized target tracking in networks of directional sensors: Further advances
Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting
Overcoming Distribution Shifts in Plug-and-Play Methods with Test- Time Training
Sparsity-enforcing sensor selection for DOA estimation
Convolutional Dictionary Learning in Hierarchical Networks
Distributed convex stochastic optimization under few constraints in large networks
Particle weight approximation with clustering for gossip-based distributed particle filters
Discovery of path-important nodes using structured semi-nonnegative matrix factorization
RF emitter localization and beam pattern auto-calibration using amplitude comparison of a two-element array
Computational complexity reduction techniques for quadrature Kalman filters
Relative velocity estimation using multidimensional scaling
Sparse sensing for composite matched subspace detection
Incorporating Handcrafted Filters in Convolutional Analysis Operator Learning for Ill-Posed Inverse Problems
Estimation of Differential Graphs from Time-Dependent Data
Compressive Sensing Based High-Resolution DoA Estimation by Beamspace Covariance Gradient Descent
Distributed computation of tensor decompositions in collaborative networks
Neural Nonnegative Matrix Factorization for Hierarchical Multilayer Topic Modeling
Superresolution without separation
Energy-Efficient distributed amplify-and-forward beamforming for wireless sensor networks
Cognitive multichannel ISAR imaging for maritime coastal surveillance and ground border control
Boolean approximation of a phase-coded aperture diffraction pattern system for X-ray crystallography
Deep robust regression
Broadband angle of arrival estimation methods in a polynomial matrix decomposition framework
Spectral image fusion from compressive measurements using spectral unmixing
Testing Unbiasedness of Testing a Sequence of Tests
Recursive hybrid CRB for Markovian systems with time-variant measurement parameters
Graph recursive least squares filter for topology inference in causal data processes
Adaptive search for sparse dynamic targets
Multi-scale stochastic optimization for Home Energy Management
A decentralized approach to generalized power system state estimation
Semi-Blind Receiver for Two-Hop MIMO Relaying Systems via Selective Kronecker Product Modeling
Sparse Cyclic Coordinate Descent for Efficient Frequency Estimation
Root-MUSIC based source localization using transmit array interpolation in MIMO radar with arbitrary planar arrays
Broadband beamforming via frequency invariance transformation and PARAFAC decomposition
RMT for whitening space correlation and applications to radar detection
To convexify or not? Regression with clustering penalties on graphs
Pandemic Intensity Estimation from Stochastic Approximation-Based Algorithms
On an iterative method for direction of arrival estimation using multiple frequencies
Simulated convergence rates with application to an intractable α-stable inference problem
Distributed differential space-time coding techniques for two-way wireless relay networks
Low-Rank Para-Hermitian Matrix EVD via Polynomial Power Method with Deflation
Optimization of a Geman-McClure like criterion for sparse signal deconvolution
Generalized sidelobe cancellers for multidimensional separable arrays