yusuke1997/dblp-id-title huggingface dataset:
Proximal Subgradient Descent Method for Cancelling Cross-Interference in FMCW Radars
Optimal Privacy-Enhancing And Cost-Efficient Energy Management Strategies For Smart Grid Consumers
EEG-Based Neurodegenerative Disease Classification using LSTM Neural Networks
Channel Estimation Using Type-III Even Discrete Cosine Transform in Multicarrier Communications
Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings
Deep Hand Gesture Recognition: A Wavelet Scattering Alternative to Convolutional Networks
Regularized block Toeplitz covariance matrix estimation via Kronecker product expansions
Recognition of polyphase coded signals using time-frequency rate distribution
Bilevel feature selection in nearly-linear time
Regularised estimation of 2D-locally stationary wavelet processes
A Cyclostationarity Based Esprit Algorithm for DOA Estimation of Uniform Circular Array
Passive acoustic monitoring using random matrix theory
Impact Analysis of Antenna Array Geometry on Performance of Semi-blind Structured Channel Estimation for massive MIMO-OFDM systems
Adaptive Learning With Surrogate Assisted Training Models Using Limited Labeled Acoustic Sample Sequences
Ladle Estimator For Time Series Signal Dimension
A partially collapsed Gibbs sampler with accelerated convergence for EEG source localization
Multivariate Signal Decomposition for Vital Signal Extraction using UWB Impulse Radar
Hierarchical Bayesian MCMC Estimation of Airport Operations Counts
Improved variational inference for tracking in clutter
Adaptive hyperparameter tuning for time-frequency algorithms based on the zeros of the spectrogram
IEEE Statistical Signal Processing Workshop, SSP 2021, Rio de Janeiro, Brazil, July 11-14, 2021
An auxiliary variable method for Langevin based MCMC algorithms
Theoretical guarantees on penalized information gathering
Optimal Constraint Vectors for Set-Membership Proportionate Affine Projection Algorithms
Accelerated Magnetic Resonance Parameter Mapping With Low-Rank Modeling and Deep Generative Priors
Measure Concentration on the OFDM-Based Random Access Channel
On-Line Blind Unmixing For Hyperspectral Pushbroom Imaging Systems
Maximizing Miss Detection for Covert Communication Under Practical Constraints
FxlogRLP: The Filtered-X Logarithmic Recursive Least P-Power Algorithm
Distributed DoS Attack Detection in SDN: Tradeoffs in Resource Constrained Wireless Networks
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective
Optimizing Transmission Power for Uplink Data in Cell-Free Wireless Body Area Networks
Joint range estimation and spectral classification for 3D scene reconstruction using multispectral Lidar waveforms
Minimizing Manual Labeling Effort for The Semantic Segmentation of Aerial Images
Detection in Human-Sensor Systems Under Quantum Prospect Theory Using Bayesian Persuasion Frameworks
Audio forensics using acoustic environment traces
On Learning Multi-Attribute Graphs With Non-Convex Penalties
Low rank matrix recovery from column-wise phaseless measurements
inSTEP: An In Situ Stochastic Approximation based Scalar Quantizer for Narrowband IoT
A non-parametric model for Ballistocardiography
Sensor selection in adversarial setting
Fully Digital and Hybrid Beamforming Design for Millimeter-Wave MIMO-OFDM Two-Way Relaying Systems
A Nearest Neighbors Quadrature for Posterior Approximation via Adaptive Sequential Design
Sample complexity of salient feature identification for sparse signal processing
Sparse Bayesian Learning with Atom Refinement for mmWave MIMO Channel Estimation
Masking schemes for image manifolds
System Performance for Coherent and Non-Coherent Processing for Distributed Phased Array Radar
C-ISTA: Iterative Shrinkage-Thresholding Algorithm for Sparse Covariance Matrix Estimation
Relay selection and scaling law in destination assisted physical layer secrecy systems
Bayesian Federated Learning for Continual Training
CSA-BERT: Video Question Answering
Variational Bayesian model averaging for audio source separation
Detection of Gaussian signals in unknown time-varying channels
Least favorable distributions for the design of sensor detection systems in non-circular regions of interest
The Restricted Isometry Property for Echo State Networks with applications to sequence memory capacity
Convolutional Gaussian Mixture Models with Application to Compressive Sensing
Tempered Fractional Brownian Motion: Wavelet Estimation and Modeling of Turbulence in Geophysical Flows
Radial Acoustic Beamforming via Near-Field Array Processing in the Spherical Harmonics Domain
Estimation of high-dimensional connectivity in FMRI data via subspace autoregressive models
Adaptive waveform design for target detection with sequential composite hypothesis testing
Manifold Curvature From Covariance Analysis
Efficient block and time-recursive estimation of sparse Volterra systems
Real-Time Large-Scale 6G Satellite-UAV Networks
Discriminative sparse image representation for classification based on a greedy algorithm
Video denoising via online sparse and low-rank matrix decomposition
Activity recognition using binary tree SVM
Uniform rectangular time reversal arrays: Joint azimuth and elevation estimation
Implementation of the Daum-Huang exact-flow particle filter
PCA-aided calibration of systems comprising multiple unbiased sensors
Asymptotic Behavior Of Margin-Based Classification Methods
Detection performance of M-ary relay trees with non-binary message alphabets
Robust bootstrap based observation classification for Kalman Filtering in harsh LOS/NLOS environments
Online low-rank subspace learning from incomplete data using rank revealing ℓ2/ℓ1 regularization
Performance analysis of Ethereum smart contracts: A Study on Gas cost and block size impact
Optimal adaptive normalized matched filter for large antenna arrays
Minimax Lower Bounds for Nonnegative Matrix Factorization
Unified asymptotic distribution of subspace projectors in complex elliptically symmetric models
Faà Di Bruno's formula and volterra series
Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis
Fast adaptive decision-selection equalizer convergence using a tree-structured algorithm
Estimation under additive Cauchy-Gaussian noise using Markov chain Monte Carlo
Speech enhancement combined with dereverberation and acoustic echo reduction for time varying systems
Towards a Framework for Detecting Deceptive Contextual and Behavioural Signals
How Beamforming Can Solve The Brain Source Imaging Problem?
Discovering statistical vulnerabilities in highly mutable viruses: A random matrix approach
Design an Internet of Things and Machine Learning Based System for Insect Monitoring in Bio-Pesticides Crops
Reference-aided distributed transmit beamforming with mobile radios
Energy-efficient quickest change detection in sensor networks
Soft systematic resampling for accurate posterior approximation and increased information retention in particle filtering
Accelerometer-based gait assessment: Pragmatic deployment on an international scale
CNN-based Channel Estimation using NOMA for mmWave Massive MIMO System
Regularized successive interference cancellation (SIC) under mismatched modeling
Receiver-coordinated zero-forcing distributed transmit nullforming
Energy-efficient coordinated beamforming in downlink OFDMA cellular networks
Taking the Edge off Quantization: Projected Back Projection in Dithered Compressive Sensing
Tracking Analyses Of M-Estimate Based LMS And NLMS Algorithms
Shape-Constrained and Unconstrained Density Estimation Using Geometric Exploration
Coupled Compressive Sensing : Sequential Reinforcement Approach
Hybrid Precoding for Partial-Full Mixed Connection mmWave MIMO
Distributed informative sensor determination via sparsity-cognizant matrix decomposition
Rényi Divergence to Compare Moving-Average Processes
Least-Squares Signal Synthesis From Modified S-Transform
Diffusion LMS for Distributed Estimation over Wireless Networks with Inter-Node Interference Perturbation
Compressive parameter estimation with multiple measurement vectors via structured low-rank covariance estimation
Nonparametric methods for full-waveform ladar images
Blind Carrier Frequency Offset Estimation for OFDM using Efficient Combinations of Esprit and Music
Multistatic radar change detection using sparse imaging methods
Analysis of real vector fields on the sphere using Slepian functions
Initial over-the-air performance assessment of ranging and clock synchronization using radio frequency signal exchange
A statistical inference method for a subset of long-range dependent FARIMA processes
On fitting exponentially damped sinusoids
DOA Estimation using Planar Sparse Fractal Array
Rankformer: Leveraging Rank Correlation for Transformer-based Time Series Forecasting
Optimal variable step-size diffusion LMS algorithms
Scaling Up Echo-State Networks With Multiple Light Scattering
Graph Neural Network Based Beamforming and RIS Reflection Design in A Multi-RIS Assisted Wireless Network
Autoencoder-Based PPG Compression for Resource-Constrained Device
Fast Bayesian Model Selection in Imaging Inverse Problems Using Residuals
Sparse Estimation in mmWave MIMO-OFDM Joint Radar and Communication (JRC) Systems
On the Eigenstructure of the AR(1) Covariance
Balanced least squares: Estimation in linear systems with noisy inputs and multiple outputs
Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime
Dictionary Learning (DL)-based Sparse Cascaded Channel Estimation in IRS-assisted Terahertz MU-SIMO Systems With Hardware Impairments
An asymptotically convex approach to discriminative coding
Online Power Iteration For Subspace Estimation Under Incomplete Observations: Limiting Dynamics And Phase Transitions
Efficient KLMS and KRLS algorithms: A random fourier feature perspective
Statistical analysis of multiple access interference in Rayleigh fading environment for MIMO CDMA systems
A Decision Fusion for Source Detection Based on Multimodal Supervised Spectral Unmixing
Overview of fully adaptive radar (FAR) for UAV applications
Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals
Human authentication from ankle motion data using convolutional neural networks
Fast filtering with new sparse transition Markov chains
Bayesian Model Selection for Unsupervised Image Deconvolution with Structured Gaussian Priors
Fedrec: Federated Learning of Universal Receivers Over Fading Channels
Estimation of high-dimensional brain connectivity from FMRI data using factor modeling
Contaminated Multiband Signal Identification Via Deep Learning
Statistical assessment of gene fusion detection algorithms using RNA Sequencing Data
Linear Filtering of Bivariate Signals Using Quaternions
Ris-Aided mmWave MIMO Radar System for Adaptive Multi-Target Localization
Comparing Iterative and Least-Squares Based Phase Noise Tracking in Receivers with 1-bit Quantization and Oversampling
Frequency estimation in the presence of cycle slips: Filter banks and error bounds for phase unwrapping
Inferring high-dimensional poisson autoregressive models
Multiple shift maximum element sequential matrix diagonalisation for parahermitian matrices
Robust PCA and Robust Subspace Tracking: A Comparative Evaluation
The Statistical Restricted Isometry Property For Gabor Systems
An iterative, backscatter-analysis based algorithm for increasing transmission through a highly-backscattering random medium
Competing Adaptive Networks
Joint transmitter waveform and receiver path optimization for target tracking by multistatic radar system
Resolving a variable number of hypotheses with multiple sensors
Performance Analysis of DOA Estimation Algorithms Using Physical Parameters in Specific Cases
Distributed Fusion Using Attention Based Deep Distributed Learning with Multimodal Conformer
Enhancing sleep postures classification by incorporating acceleration sensor and LSTM model
Maximum-entropy surrogation in network signal detection
Dynamic decentralized voltage control for power distribution networks
Comparator Network Aided Channel Estimation and Achievable Rates for MIMO Receivers with 1-Bit Quantization
Robust interference channel transmission using sparsity enhanced mismatch model
K-subspaces with missing data
Online Estimation of Coherent Subspaces with Adaptive Sampling
Bayesian estimation of multi-object systems with independently identically distributed correlations
Sensing aware dimensionality reduction for nearest neighbor classification of high dimensional signals
Convolutional Neural Network-based Architecture for Detecting Face Mask in Crowded Areas
Robust M-estimator of scatter for large elliptical samples
Simple algorithms for sparse linear regression with uncertain covariates
Learning Dags using Multiclass Support Vector Machines
Two-stage estimation after parameter selection
Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization
Sparsity Problem Involving Rational Basis Functions
Non-Parametric Online Change-Point Detection with Kernel LMS By Relative Density Ratio Estimation
The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS
A single SVD sparse dictionary learning algorithm for FMRI data analysis
Multitask diffusion LMS with optimized inter-cluster cooperation
Inferring network properties from fixed-choice design with strong and weak ties
On estimation of the noise variance in a high-dimensional signal detection model
Multilinear subspace clustering
Random Matrix-Optimized High-Dimensional MVDR Beamforming
Estimation of Statistical Manifold Properties of Natural Sequences using Information Topology
Joint Bayesian decomposition of a spectroscopic signal sequence with RJMCMC
MIMO radar detection with heterogeneous propagation losses
A Smoothing Stochastic Phase Retrieval Algorithm for Solving Random Quadratic Systems
Network Topology Inference From Input-Output Diffusion Pairs
A Double Proposal Normalized Importance Sampling Estimator
Phase difference of filter-stable part-tones as acoustic feature
False Discovery Rate Control for Fast Screening of Large-Scale Genomics Biobanks
Compressive demodulation of mutually interfering signals
Asymptotic inference for hidden process regression models
A non-parametric Bayesian clustering for gene expression data
Diffusion networks outperform consensus networks
Gridless Channel Estimation for mmWave Hybrid Massive MIMO Systems with Low-Resolution ADCs
BaNa: A hybrid approach for noise resilient pitch detection
The performance of music-based DOA in white noise with missing data
Robust hypothesis testing with composite distances
Collaborative sensor scheduling for space situational awareness
Particle filtering based data detection in a flat-fading relay-based communication system
On the Modelling of Coarse Vector Quantization in Distributed Massive MIMO
Markov Decision Process Design for Imitation of Optimal Task Schedulers
Bounds on Passive Tdoa Estimation in Mixtures
A signal disambiguation algorithm for use in multi-beam receivers
Upper-bounding BIAS errors in satellite navigation
IEEE Statistical Signal Processing Workshop, SSP 2025, Edinburgh, United Kingdom, June 8-11, 2025
Bayesian sparse channel estimation and tracking
Wiener filtering of rotation processes using ordered exponential
Gaussian particle filtering in high-dimensional systems
A Variational Bayesian Estimation Scheme For Parametric Point-Like Pollution Source of Groundwater Layers
The Statistical Analysis of the Varying Brain
Minimum Symbol Error Rate-Based Constant Envelope Precoding for Multiuser Massive Miso Downlink
Adaptive distributed waveform selection for target tracking by a multistatic radar system
An Edge Exclusion Test for Complex Gaussian Graphical Model Selection
Nonlocal foveated principal components
Recursive Least Complex Signa Signum Algorithm
Capacity of Distributed Millimetre-wave Antenna Arrays
Sequential Monte Carlo samplers for marginal likelihood computation in multiplicative exponential noise models
Quantized network coding for sparse messages
Co-Hub Node-Based Multiview Graph Learning
A comparison of information theoretic functions for tracking maneuvering targets
Robust Gaussian sum filtering with unknown noise statistics: Application to target tracking
LMS in prominent system subspace for fast system identification
Analyzing pathway design from drug perturbation experiments
Characterization of Finite Signals with Low-Rank Stft
Channel Estimation and Physical Layer Security in Optical MIMO-OFDM based LED Index Modulation
The Effect of Calibration Errors When Combining Sound Field Interpolation with Head-Related Transfer Functions
Nonasymptotic Analysis of Direct-Augmentation ESPRIT for Localization of More Sources Than Sensors Using Sparse Arrays
Compressive sensing and 3-D radar imaging
Music-based DOA estimation by oblique projection along the signal subspace
Bias Compensation in Iterative Soft-Feedback Algorithms With Applicationto (Discrete) Compressed Sensing
Energy Efficiency Maximization Under Delay-Outage Probability Constraints Using Fluid Antenna Systems
Adaptive IIR Diffusion Networks for IoT Applications
IEEE Statistical Signal Processing Workshop, SSP 2023, Hanoi, Vietnam, July 2-5, 2023
Comparison of passive radar detectors with noisy reference signal
Compressive subspace fitting for multiple measurement vectors
Limitations of Constrained CRB and an Alternative Bound
Recursive Spatial Covariance Estimation with Sparse Priors for Sound Field Interpolation
Branch and bound algorithm for code spread OFDM
Coordinating complementary waveforms across time and frequency
Target Resolution Properties of the Multi-Tone Sinusoidal Frequency Modulatedwaveform
A sparsity based approach for acoustic room impulse response shortening
Discriminative subgraph detection for temporal multilayer networks
Deep Learning Beam Optimization in Millimeter-Wave Communication Systems
Fusion of images and clinical features for the prediction of Pulmonary embolism in Ultrasound imaging
Discrete image reconstruction for material quantification
Inexact higher-order proximal algorithms for tensor factorization
Doubly Truncated Mode Kriging
A sparse approach for DOA estimation with a multiple spatial invariance sensor array
Linearity conditions for optimal estimation from multiple noisy measurements
Recovery of Joint Probability Distribution from One-Way Marginals: Low Rank Tensors and Random Projections
Higher-Order Grouped Outlier Robust PCA for Spatio-temporal Anomaly Detection
A localized ensemble Kalman smoother
Measurement matrix design for compressive sensing with side information at the encoder
Distributed state estimation for large-scale nonlinear systems: A reduced order particle filter implementation
Dynamic network kriging
Approximate message passing meets exploration seismology
Convex Optimization-Based Sidelobe Control for Planar Arrays
Analytical precision limits in slitless spectroscopy
Enhancing Seismic Post-stack Reconstruction with Diffusion Models: Addressing Uncertainty and Structural Complexity
Randomised sketching of parametric linear systems
Iterative Detection and Decoding for Multiuser MIMO Systems with Low Resolution Precoding and PSK Modulation
Multichannel Wiener filter estimation using source location knowledge for speech enhancement
Exploiting correlated discriminant features in time frequency and space for characterization and robust classification of image RSVP events with EEG data
Multiscale online tracking of manifolds
Bayesian multifractal analysis of multi-temporal images using smooth priors
Signal classification by power spectral density: An approach via Riemannian geometry
ML Carrier Phase Estimation with 1-Bit Quantization and Oversampling
Hierarchical online SSVEP spelling achieved with spatiotemporal beamforming
POPGIS - An Application Service for Air Pollution Management and Analysis in Vietnam
Subband adaptive convex combination of two NLMS based filters for sparse impulse response systems
Residual Hybrid Filterbanks
Multidimensional Analytic Signal with Application on Graphs
Sparsity-based regularization for learning over multitask graphs
An improved Bayesian inversion method for the estimation of multimodal particle size distributions using multiangle Dynamic Light Scattering measurements
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices
Alternative effective sample size measures for importance sampling
Analysis of degrees of freedom of wideband random multipath fields observed over time and space windows
Robust detection of weak acoustic signals in noise using near optimal shrinkage in radon domain
Mean squared error performance of adaptive matched field localization under environmental uncertainty
Energy-Efficient Digital Beamforming by Means of Linear Computation Coding
On-line gossip-based distributed expectation maximization algorithm
Bayesian estimation of forgetting factor in adaptive filtering and change detection
Outage optimal relay selection strategy using destination-based jamming for secure communication in amplify-and-forward relay networks
Sparsity-based algorithms for blind separation of convolutive mixtures with application to EMG signals
Bayesian hypothesis test for sparse support recovery using belief propagation
Learning a hierarchical dictionary for single-channel speech separation
A log-ratio pair approach to endoscopic image matching
Grouped incoherent measurements for compressive sensing
Rao-Blackwellized particle filter for Markov modulated nonlinear dynamic systems
A Multitaper Test For The Detection of Non-Stationary Processes Using Canonical Correlation Analysis
A multiscale approach for tensor denoising
Bound on the estimation grid size for sparse reconstruction in direction of arrival estimation
Ultra Low Delay Audio Source Separation Using Zeroth-Order Optimization
A Probabilistic Model for Image Processing with Positivity Constraint and Spectral Density Control
Semantic Labeling for Point Cloud Detection and Registration Using the Universal Manifold Embedding: Statistical Analysis
How Can We Naturally Order and Organize Graph Laplacian Eigenvectors?
Damped ellipse decomposition for bivariate signals
Scalable Financial Index Tracking with Graph Neural Networks
Online search Orthogonal Matching Pursuit
Estimation of Imagined Rhythms from EEG by Spatiotemporal Convolutional Neural Networks
Delay-Doppler average ambiguity function for array radar with stochastic signals
Estimation of flow distributions tails from sampled traffic
Identifying online communities of interest using side information
Binary stable embedding via paired comparisons
Theoretical discussion of the filtered-X LMS algorithm based on statistical mechanical analysis
Sparse multivariate factor regression
Democratic prior for anti-sparse coding
Backward sequential Monte Carlo for marginal smoothing
Recovering Ground Truth Singular Values From Randomly Perturbed MIMO Transfer Functions
On physics-constrained magnetic anomaly detection
Incorporating spatial structure into hyperspectral scene analysis
Statistical reconstruction of pulse shapes from pulse streams
On the Fusion Strategies for Federated Decision Making
Audio Signal Enhancement with Low-Rank Time-Frequency Synthesis Models
Statistical spatial resolution limit for ultrawideband MIMO noise radar
Multiscale time irreversibility to predict orthostatic intolerance in older people
Convmd: Convolutive Matrix Decomposition For Classification Of Matrix Data
A graphical model representation of the track-oriented multiple hypothesis tracker
Performance of Adaptive Filtering Based on Legendre Polynomials
Risk Prediction of Cardioembolic Stroke using Clinical Data and Non-contrast CT
Indian Buffet process dictionary learning for image inpainting
Geometry and Radiometry Invariant Matched Manifold Detection and Robust Homography Estimation
Multiple Measurement Vector Model for Sparsity-Based Vascular Ultrasound Imaging
A Riemannian Approach for Graph-Based Clustering by Doubly Stochastic Matrices
Stochastic resolution analysis of co-prime arrays in radar
Jeffreys prior regularization for logistic regression
Density parameter estimation for additive Cauchy-Gaussian mixture