## Papers by Title

# Papers by Title

*2D Fourier Transform Based Analysis Comparing the DFA with the DMA*

*A Biologically Constrained Encoding Solution for Long-Term Storage of Images onto Synthetic DNA*

*A Biologically Constrained Encoding Solution for Long-Term Storage of Images onto Synthetic DNA*

*A Blind Reconstruction Algorithm for Level-Crossing Analog-to-Digital Conversion*

*A Comparison of Machine Learning Methods for Detecting Right Whales from Autonomous Surface Vehicles*

*A Complete Framework of Radar Pulse Detection and Modulation Classification for Cognitive EW*

*A Composite Discriminator for Generative Adversarial Network Based Video Super-Resolution*

*A Continuum Model for Route Optimization in Large-Scale Inhomogeneous Multi-Hop Wireless Networks*

*A Data Augmentation Approach for Sampling Gaussian Models in High Dimension*

*A Dyadic Particle Filter for Price Prediction*

*A Fast Local Mode Decision for the HEVC Intra Prediction Based on Direction Detection*

*A Graph Signal Processing Approach to Direction of Arrival Estimation*

*A Graph Signal Processing Framework for Atrial Activity Extraction*

*A Highly Reliable Wrist-Worn Acceleration-Based Fall Detector*

*A Least Squares Narrowband DOA Estimator with Robustness Against Phase Wrapping*

*A Localized No-Reference Blurriness Measure for Omnidirectional Images and Video*

*A Low Complexity Image Compression Algorithm for IoT Multimedia Applications*

*A Low-Computation-Cycle Design of Input-Decimation Technique for RIDFT Algorithm*

*A Machine Learning Approach to the Identification of Dynamical Nonlinear Systems*

*A Modelling Approach to Generate Representative UAV Trajectories Using PSO*

*A Multiple-UAV Software Architecture for Autonomous Media Production*

*A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences*

*A New Algorithm for Dictionary Learning Based on Convex Approximation*

*A New Metric to Evaluate Auditory Attention Detection Performance Based on a Markov Chain*

*A New Signal-Selective Wide-Band Ambiguity Function*

*A Non-iterative Reconstruction Algorithm for Single Pixel Spectral Imaging with Side Information*

*A Novel Compressive Sensing Scheme Under the Variational Bayesian Framework*

*A Novel Design Method for Digital FIR/IIR Filters Based on the Shuffle Frog-Leaping Algorithm*

*A Novel Particle Filter for High-Dimensional Systems Using Penalized Perturbations*

*A Parallel Optimization Approach on the Infinity Norm Minimization Problem*

*A Parallel Optimization Approach on the Infinity Norm Minimization Problem*

*A Parallel Sparse Regularization Method for Structured Multilinear Low-Rank Tensor Decomposition*

*A Privacy-Preserving Asynchronous Averaging Algorithm Based on Shamir's Secret Sharing*

*A Probabilistic Method to Find and Visualize Distinct Regions in Protein Sequences*

*A Quality of Recognition Case Study: Texture-based Segmentation and MRI Quality Assessment*

*A Robust Roll Angle Estimation Algorithm Based on Gradient Descent*

*A Simple Sparsity-aware Feature LMS Algorithm*

*A Sparse and Prior Based Method for 3D Image Denoising*

*A Speech Reconstruction Algorithm via Iteratively Reweighted ℓ2 Minimization for MFCC Codec*

*A Temporal Dependency Model for Rate-Distortion Optimization in Video Coding*

*A Unifying Framework for Blind Source Separation Based on A Joint Diagonalizability Constraint*

*Acoustic Simulation in Dynamic Environments for Robot Audition*

*Acoustic Source Position Estimation Based on Multi-Feature Gaussian Processes*

*Active Acoustic Source Tracking Exploiting Particle Filtering and Monte Carlo Tree Search*

*Ad-hoc Mobile Array Based Audio Segmentation Using Latent Variable Stochastic Model*

*Adaptive Beamforming Based on Time Modulated Array with Harmonic Characteristic Analysis*

*Adaptive Pre-whitening Based on Parametric NMF*

*Advancing Speech Recognition with No Speech or with Noisy Speech*

*Alcoholic EEG Analysis Using Riemann Geometry Based Framework*

*Algorithms for Piecewise Constant Signal Approximations*

*All-Powerful Learning Algorithm for the Priority Access in Cognitive Network*

*An Adaptive Sampling Technique for Graph Diffusion LMS Algorithm*

*An Adaptive Video Acquisition Scheme for Object Tracking*

*An Adversarial Super-Resolution Remedy for Radar Design Trade-offs*

*An Algebraic Framework for Digital Envelope Modulation*

*An EM Algorithm for Joint Dual-Speaker Separation and Dereverberation*

*An Environment for Gestural Interaction with 3D Virtual Musical Instruments as an Educational Tool*

*An Improved Feature Extraction Method for Texture Classification with Increased Noise Robustness*

*An Unmixing-Based Change Detection Approach for Multiresolution Remote Sensing Images*

*Analysing Deep Learning-Spectral Envelope Prediction Methods for Singing Synthesis*

*Analysis of Nematodes in Coffee Crops at Different Altitudes Using Aerial Images*

*Analysis of Parkinson's Disease Dysgraphia Based on Optimized Fractional Order Derivative Features*

*Applications of Projected Belief Networks (PBN)*

*Asymptotic Karlin-Rubin's Theorem with Application to Signal Detection in a Subspace Cone*

*Asymptotic Karlin-Rubin's Theorem with Application to Signal Detection in a Subspace Cone*

*Atomic Norms in Group Sliding Sparse Recovery*

*Audio-Based Epileptic Seizure Detection*

*Audio-Visual Speech Enhancement Using Hierarchical Extreme Learning Machine*

*Auto-calibration of Uniform Linear Array Antennas*

*Automated Forensic Ink Determination in Handwritten Documents by Clustering*

*Automatic Measurement of Speech Breathing Rate*

*Automatic Playlist Generation Using Convolutional Neural Networks and Recurrent Neural Networks*

*Bayesian Estimation of Recurrent Changepoints for Signal Segmentation and Anomaly Detection*

*Bayesian Model Selection for Nonlinear Acoustic Echo Cancellation*

*Bayesian Robust Signal Subspace Estimation in Non-Gaussian Environment*

*Bayesian Sequential Joint Signal Detection and Signal-to-Noise Ratio Estimation*

*Bayesian Time-Domain Multiple Sound Source Localization for a Stochastic Machine*

*Beam-Steering in Switched 4D Arrays Based on the Discrete Walsh Transform*

*BEV Object Tracking for LIDAR-based Ground Truth Generation*

*Black-Box Decision Based Adversarial Attack with Symmetric Alpha-stable Distribution*

*Blind Calibration of Sensor Arrays for Narrowband Signals with Asymptotically Optimal Weighting*

*Block Sparsity-Based DOA Estimation with Sensor Gain and Phase Uncertainties*

*Breathing Rate Complexity Features for "In-the-Wild'' Stress and Anxiety Measurement*

*Calibration of Antenna Array with Dual Channel Switched Receiver System*

*Cardiac Motion Estimation Using Convolutional Sparse Coding*

*Cauchy Multichannel Speech Enhancement with a Deep Speech Prior*

*Change Prediction for Low Complexity Combined Beamforming and Acoustic Echo Cancellation*

*Channel Hardening, Favorable Equalization and Propagation in Wideband Massive MIMO*

*Classification of Brainwaves Using Convolutional Neural Network*

*Clean Speech AE-DNN PSD Constraint for MCLP Based Reverberant Speech Enhancement*

*CNN-based Multichannel End-to-End Speech Recognition for Everyday Home Environments*

*CNN-based Virtual Microphone Signal Estimation for MPDR Beamforming in Underdetermined Situations*

*Coded Aperture Design for Super-Resolution Phase Retrieval*

*Collecting, Analyzing and Predicting Socially-Driven Image Interestingness*

*Communications for Autonomous Unmanned Aerial Vehicle Fleets in Outdoor Cinematography Applications*

*Comparing Optimization Methods of Neural Networks for Real-time Inference*

*Comparing Optimization Methods of Neural Networks for Real-time Inference*

*Comparison of Parameter Estimation Methods for Single-Microphone Multi-Frame Wiener Filtering*

*Compensating for Object Variability in DNN-HMM Object-Centered Human Activity Recognition*

*Complexity Scalable HEVC-to-AV1 Transcoding Based on Coding Tree Depth Inheritance*

*Complexity-Reduced Suboptimal Equalization with Monte Carlo Based MIMO Detectors*

*Compression Efficiency and Computational Cost Comparison Between AV1 and HEVC Encoders*

*Compression of High-Dimensional Multispectral Image Time Series Using Tensor Decomposition Learning*

*Compressive Chirp Transform for Estimation of Chirp Parameters*

*Compressive Independent Component Analysis*

*Computational Acceleration and Smart Initialization of Full-rank Spatial Covariance Analysis*

*Computer Aid-System to Identify the First Stage of Prostate Cancer Through Deep-Learning Techniques*

*Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement*

*Connections Between Reassigned Spectrum and Least Squares Estimation for Sinusoidal Models*

*Convex Combination of Spline Adaptive Filters*

*Convex Optimization Based Sparse Learning over Networks*

*Convolutional LSTM-based Long-Term Spectrum Prediction for Dynamic Spectrum Access*

*Cost-Aware Dual Prediction Scheme for Reducing Transmissions at IoT Sensor Nodes*

*Coverage Analysis for Backscatter Communication Empowered Cellular Internet-of-Things*

*Coverage Analysis of Relay Assisted V2I Communication in Microcellular Urban Networks*

*Cross-domain Knowledge Transfer Schemes for 3D Human Action Recognition*

*Curriculum-based Teacher Ensemble for Robust Neural Network Distillation*

*Data Augmentation for Drum Transcription with Convolutional Neural Networks*

*Data Augmentation Using Generative Adversarial Network for Environmental Sound Classification*

*Data Preprocessing for ANN-based Industrial Time-Series Forecasting with Imbalanced Data*

*Decentralized Multi-Agent Deep Reinforcement Learning in Swarms of Drones for Flood Monitoring*

*Deep Convolutional and LSTM Neural Network Architectures on Leap Motion Hand Tracking Data Sequences*

*Deep L1-PCA of Time-Variant Data with Application to Brain Connectivity Measurements*

*Deep Learning Based Localization of Near-Field Sources with Exact Spherical Wavefront Model*

*Deep Learning Models for Denoising ECG Signals*

*Deep Log-Likelihood Ratio Quantization*

*Deep Log-Likelihood Ratio Quantization*

*Deep Neural Network Based Poetic Meter Classification Using Musical Texture Feature Fusion*

*Deep Reinforcement Learning for Autonomous Model-Free Navigation with Partial Observability*

*Deep Spatio-Temporal Modeling for Object-Level Gaze-Based Relevance Assessment*

*Deep Transfer Learning for Single-Channel Automatic Sleep Staging with Channel Mismatch*

*DEFACTO: Image and Face Manipulation Dataset*

*Defect Detection from Compressed 3-D Ultrasonic Frequency Measurements*

*Defining Graph Signal Distances Using an Optimal Mass Transport Framework*

*Demodulation Algorithm Based on Higher Order Synchrosqueezing*

*Dempster-Shafer Theory for Fusing Face Morphing Detectors*

*Derivation of Respiratory Effort from Photoplethysmography*

*Detecting Early Parkinson's Disease from Keystroke Dynamics Using the Tensor-Train Decomposition*

*Detecting Higher Order Genomic Variant Interactions with Spectral Analysis*

*Detecting Right Whales from Autonomous Surface Vehicles Using RNNs and CNNs*

*Detecting the Rank of a Symmetric Tensor*

*Detection, Enumeration and Localization of Underwater Acoustic Sources*

*Diffusion Maps Particle Filter*

*Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution*

*Discrete-Valued Vector Reconstruction by Optimization with Sum of Sparse Regularizers*

*Discriminative Joint Vector and Component Reduction for Gaussian Mixture Models*

*Distributed Consensus-Based Extended Kalman Filtering: A Bayesian Perspective*

*Distributed Mission Execution for Aerial Cinematography with Multiple Drones*

*DNN Speaker Embeddings Using Autoencoder Pre-Training*

*Dual Function FH MIMO Radar System with DPSK Signal Embedding*

*Early SKIP Mode Decision Method in HEVC Based on Perceptual Distortion Measure*

*Edge and Cloud-aided Secure Sparse Representation for Face Recognition*

*Effectiveness of Cross-Domain Architectures for Whisper-to-Normal Speech Conversion*

*Efficiency of the Bio-Inspired Leaky Integrate-and-Fire Neuron for Signal Coding*

*Efficiency of the Memory Polynomial Model in Realizing Digital Twins for Gait Assessment*

*Efficient Adaptive Multiple Importance Sampling*

*Efficient Distributed Processing for Large Scale MIMO Detection*

*Efficient Feature Extraction for Person Re-Identification via Distillation*

*Efficient Phase-Based Acoustic Tracking of Drones Using a Microphone Array*

*Electromagnetic Imaging of a Dielectric Micro-Structure via Convolutional Neural Networks*

*End-to-end Audio Classification with Small Datasets - Making It Work*

*Energy Separation Algorithm Based Spectrum Estimation for Very Short Duration of Speech*

*Energy-Efficient Improper Signaling for K-User Interference Channels*

*Enhanced Diffusion Learning over Networks*

*Environment Capture and Simulation for UAV Cinematography Planning and Training*

*ESPRIT Angles-of-Arrival Estimation with Missing Sensor Data*

*Estimating & Mitigating the Impact of Acoustic Environments on Machine-to-Machine Signalling*

*Estimation of Measurement-Noise Variance for Variable-Step-Size NLMS Filters*

*Estimation of Sensor Array Signal Model Parameters Using Factor Analysis*

*Evaluation of Analog Encoding for Multi-User Wireless Transmission of Still Images*

*Evaluation of Modifications to CPPPSNR in 360ᵒ Video Quality Assessment*

*Exact Multiplicative Factor Updates for Convolutional Beta-NMF in 2D*

*ExcitNet Vocoder: A Neural Excitation Model for Parametric Speech Synthesis Systems*

*Extending Architecture Modeling for Signal Processing Towards GPUs*

*Extracting Proprioceptive Information by Analyzing Rotating Range Sensors Induced Distortion*

*Face-aware Saliency Estimation Model for 360° Images*

*Fast Alignment of Limited Angle Tomograms by Projected Cross Correlation*

*Fast Alignment of Limited Angle Tomograms by Projected Cross Correlation*

*Fast and Lightweight Person Detector for Unmanned Aerial Vehicles*

*Fast Basis Function Estimators for Identification of Nonstationary Stochastic Processes*

*Fast CU Size Decisions for HEVC Inter-Prediction Using Support Vector Machines*

*Fast Direct Detection of Accelerating Radar Targets*

*Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices*

*Fast Surface Detection in Single-Photon Lidar Waveforms*

*FDA-MIMO Signal Processing for Mainlobe Jammer Suppression*

*Feasibility of LTE for Train Control in Subway Environments Based on Experimental Data*

*Feature LMS Algorithm for Bandpass System Models*

*Filtering-based Analysis Comparing the DFA with the CDFA for Wide Sense Stationary Processes*

*Finding Common Image Semantics for Urban Perceived Safety Based on Pairwise Comparisons*

*Fingerspelled Alphabet Sign Recognition in Upper-Body Videos*

*FISTA: Achieving a Rate of Convergence Proportional to K^{-3} for Small / Medium Values of k*

*fMRI BOLD Signal Decomposition Using a Multivariate Low-Rank Model*

*Forward Looking GPR-Based Landmine Detection Using a Robust Likelihood Ratio Test*

*Fractional Programming for Energy Efficient Power Control in Uplink Massive MIMO Systems*

*Free Registration Based Shape Prior for Active Contours*

*Front-End Feature Compensation for Noise Robust Speech Emotion Recognition*

*Full Covariance Fitting DoA Estimation Using Partial Relaxation Framework*

*Fully Adaptive Savitzky-Golay Type Smoothers*

*Fully Proximal Splitting Algorithms in Image Recovery*

*Gated Graph Convolutional Recurrent Neural Networks*

*Gated Graph Convolutional Recurrent Neural Networks*

*Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance Sampling Interpretation*

*Gaze Tracking by Joint Head and Eye Pose Estimation Under Free Head Movement*

*Gearbox Fault Diagnosis Using Convolutional Neural Networks and Support Vector Machines*

*Generalized Gamma Distribution SAR Sea Clutter Modelling for Oil Spill Candidates Detection*

*Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation*

*Generalizing Graph Convolutional Neural Networks with Edge-Variant Recursions on Graphs*

*GestureKeeper: Gesture Recognition for Controlling Devices in IoT Environments*

*Gimbal Control for Vision-based Target Tracking*

*Globally Optimal TIN Strategies with Time-Sharing in the MISO Interference Channel*

*GNSS-based Localization for Autonomous Vehicles: Prospects and Challenges*

*GPR Antenna Localization Based on A-Scans*

*Graph Filter Design Using Sum-of-squares Representation*

*Graph Spectral Domain Features for Static Hand Gesture Recognition*

*Graphical Schemes Designed to Display and Study the Long-Term Variations of Schumann Resonance*

*Hardware Acceleration of Approximate Transform Module for the Versatile Video Coding*

*Harmonic Networks with Limited Training Samples*

*Heart Disease Detection Architecture for Lead I Off-the-Person ECG Monitoring Devices*

*Heterogeneous Network Localization with a Distributed Phased Array Composed of Cooperative Vehicles*

*HMM-based Convolutional LSTM for Visual Scanpath Prediction*

*How to Apply Random Projections to Nonnegative Matrix Factorization with Missing Entries?*

*Hue Modification Localization by Pair Matching*

*HVS Based Perceptual Pre-Processing for Video Coding*

*Hybrid FSO/RF-FSO Systems over Generalized Málaga Distributed Channels with Pointing Errors*

*Hybrid Octree-Plane Point Cloud Geometry Coding*

*Hyper-parameter Selection on Convolutional Dictionary Learning Through Local \ell_{0,\infty} Norm*

*Hyperspectral Complex Domain Denoising*

*Hyperspectral X-ray Denoising: Model-Based and Data-Driven Solutions*

*Identification of Alzheimer's Disease Using Non-linguistic Audio Descriptors*

*Identification of Vector Autoregressive Models with Granger and Stability Constraints*

*Identify of Spatial Similarity of Electroencephalography (EEG) During Working-Memory Maintenance*

*Image and Ontological Information Fusion for Cataract Surgery Recommendation*

*Impact Sounds Classification for Interactive Applications via Discriminative Dictionary Learning*

*Improved Lossless Image Compression Using Adaptive Image Rotation*

*Improved Regularized Reconstruction for Simultaneous Multi-Slice Cardiac MRI T1 Mapping*

*Improved Waveforms for Time-Efficient Radar Range Measurement Disambiguation*

*Improving Energy Disaggregation Performance Using Appliance-Driven Sampling Rates*

*Improving FISTA's Speed of Convergence via a Novel Inertial Sequence*

*Improving Singing Voice Separation Using Deep U-Net and Wave-U-Net with Data Augmentation*

*Improving the Performance of Lightweight CNN Models Using Minimum Enclosing Ball Regularization*

*Indoor Sound Source Localization Based on Sparse Bayesian Learning and Compressed Data*

*Infinite Impulse Response Echo Canceller in STFT Domain for Reverberant Environments*

*Inhomogeneously Stacked RNN for Recognizing Hand Gestures from Magnetometer Data*

*Integration of High Speed Train Channel Measurements in System Level Simulations*

*Intersymbol and Intercarrier Interference in OFDM Transmissions Through Highly Dispersive Channels*

*Introducing SPAIN (SParse Audio INpainter)*

*Investigation of Reverse Mode Loudspeaker Performance in Urban Sound Classification*

*Iterative Wiener Filtering for Deconvolution with Ringing Artifact Suppression*

*iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Based on Tone Mapping Operator*

*Jammer Detection in M-QAM-OFDM by Learning a Dynamic Bayesian Model for the Cognitive Radio*

*Joint Low-Rank Factorizations with Shared and Unshared Components: Identifiability and Algorithms*

*Joint Singing Voice Separation and F0 Estimation with Deep U-Net Architectures*

*Joint Unmixing-Deconvolution Algorithms for Hyperspectral Images*

*Joint User Grouping and Power Allocation for MISO Systems: Learning to Schedule*

*Kernel Based Online Change Point Detection*

*Key Ingredients of Self-Driving Cars*

*L0-Norm Adaptive Volterra Filters*

*L0Soft: L0 Minimization via Soft Thresholding*

*Labeler-hot Detection of EEG Epileptic Transients*

*Laplace Nonnegative Matrix Factorization with Application to Semi-supervised Audio Denoising*

*Large-scale Canonical Polyadic Decomposition via Regular Tensor Sampling*

*Large-scale Pollen Recognition with Deep Learning*

*Learning Causal Networks Topology from Streaming Graph Signals*

*Learning Methods for RSSI-based Geolocation: A Comparative Study*

*Learning of Image Dehazing Models for Segmentation Tasks*

*Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising*

*Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data*

*Lip-Reading with Limited-Data Network*

*Loss Functions for Denoising Compressed Images: a Comparative Study*

*Lossless Image Coding Exploiting Local and Non-local Information via Probability Model Optimization*

*Low Complexity Robust Adaptive Beamformer Based on Parallel RLMS and Kalman RLMS*

*Low-Complexity Hybrid Transceivers for Uplink Multiuser mmWave MIMO by User Clustering*

*Low-Complexity Optimization for Direction-of-Arrival Estimation via Approximate Message Passing*

*Low-Complexity Switching Network Design for Hybrid Precoding in mmWave MIMO Systems*

*Low-Rank Approximation via the Generalized Reweighted Iterative Nuclear Norm*

*Low-rank Data Matrix Recovery with Missing Values and Faulty Sensors*

*Löwner-Based Tensor Decomposition for Blind Source Separation in Atrial Fibrillation ECGs*

*LTE Ranging Measurement Using Uplink Opportunistic Signals and the SAGE Algorithm*

*LTE-based Wireless Channel Modeling on High-Speed Railway at 465MHz*

*Malware Identification with Dictionary Learning*

*Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral Images*

*Maximum Likelihood Convolutional Beamformer for Simultaneous Denoising and Dereverberation*

*Maximum-likelihood Detection of Impulsive Noise Support for Channel Parameter Estimation*

*Maximum-likelihood DOA Estimation at Low SNR in Laplace-like Noise*

*Measure-Transformed Gaussian Quasi Score Test in the Presence of Nuisance Parameters*

*Measurement-based Wideband Radio Channel Characterization in an Underground Parking Lot*

*Memory-Optimized Voronoi Cell-Based Parallel Kernels for the Shortest Vector Problem on Lattices*

*MIMO Receiver with Reduced Number of RF Chains Based on 4D Array and Software Defined Radio*

*Model-based Optimization of a Low-dimensional Modulation Filter Bank for DRR and T60 Estimation*

*Modelling Mismatch and Noise Statistics Uncertainty in Linear MMSE Estimation*

*Modified U-Net for Automatic Brain Tumor Regions Segmentation*

*Monaural Source Separation Based on Sequentially Trained LSTMs in Real Room Environments*

*Monaural Speech Separation with Deep Learning Using Phase Modelling and Capsule Networks*

*Multi-Microphone Speaker Separation Based on Deep DOA Estimation*

*Multi-point Connectivity for Reliable mmWave*

*Multi-resolution Reconstruction Algorithm for Phase Retrieval in X-ray Crystallography*

*Multi-scale Aggregation of Phase Information for Complexity Reduction of CNN Based DOA Estimation*

*Multimodal Image Super-resolution via Deep Unfolding with Side Information*

*Multiple K-Means Clustering Based Locally Low-Rank Approach to Nonlinear Matrix Completion*

*MWF-based Speech Dereverberation with a Local Microphone Array and an External Microphone*

*NAViDAd: A No-Reference Audio-Visual Quality Metric Based on a Deep Autoencoder*

*Neural Network Aided Computation of Generalized Spatial Modulation Capacity*

*Neuro-inspired Compression of RGB Images*

*New Algorithms on Complex Joint Eigenvalue Decomposition Based on Generalized Givens Rotations*

*NLOS Classification Based on RSS and Ranging Statistics Obtained from Low-Cost UWB Devices*

*NLS Algorithm for Kronecker-Structured Linear Systems with a CPD Constrained Solution*

*Node Activity Monitoring in Heterogeneous Networks Using Energy Sensors*

*Non-Centralized Navigation for Source Localization by Cooperative UAVs*

*Non-Intrusive POLQA Estimation of Speech Quality Using Recurrent Neural Networks*

*Non-local Restoration of Sparse 3D Single-Photon Data*

*Novel Sensing Mechanism for Full-Duplex Secondary Users in Cognitive Radio*

*OFDM Spectral Precoding with Per-Subcarrier Distortion Constraints*

*Offline Noise Reduction Using Optimal Mass Transport Induced Covariance Interpolation*

*On Acoustic Modeling for Broadband Beamforming*

*On Adaptive Spectrum Estimation of Multivariate Autoregressive Locally Stationary Processes*

*On Detecting and Handling Target Occlusions in Correlation-filter-based 2D Tracking*

*On Interference Pikes in Poisson Networks*

*On Multivariate non-Gaussian Scale Invariance: Fractional Lévy Processes and Wavelet Estimation*

*On Realizing Distributed Deep Neural Networks: An Astrophysics Case Study*

*On Room Impulse Response Measurement Using Orthogonal Periodic Sequences*

*On Spectral Embeddings for Supervised Binaural Source Localization*

*On the Physical Layer Security of IoT Devices over Satellite*

*On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix*

*On the Recursions of Robust COMET Algorithm for Convexly Structured Shape Matrix*

*On the Relation Between DOA-Vector Eigenbeam ESPRIT and Subspace Pseudointensity-Vector*

*On the Relation Between DOA-Vector Eigenbeam ESPRIT and Subspace Pseudointensity-Vector*

*On the Segmentation of Plantar Foot Thermal Images with Deep Learning*

*ON-IN: An On-Node and In-Node Based Mechanism for Big Data Collection in Large-Scale Sensor Networks*

*One-Class Feature Learning Using Intra-Class Splitting*

*Online Dictionary Learning for Single-Subject fMRI Data Unmixing*

*Open-Set Recognition Using Intra-Class Splitting*

*Optimization of Signal Processing Chains: Application to Cascaded Filters*

*Optimization of the Radio Access to Provide Vehicular Communications Based on Drive Tests*

*Optimization-based Synthesis of Time-Modulated Arrays with Accurate Time-Frequency Analysis*

*Optimized Reference Picture Selection for Light Field Image Coding*

*Optimized Reference Picture Selection for Light Field Image Coding*

*Optimum Trajectory Planning for Robotic Data Ferries in Delay Tolerant Wireless Sensor Networks*

*Outlier Detection from Non-Smooth Sensor Data*

*Parameter Estimation of Heavy-Tailed AR(p) Model from Incomplete Data*

*Parameter-free Small Variance Asymptotics for Dictionary Learning*

*Partially Adversarial Learning and Adaptation*

*Patch-Based Colour Transfer with Optimal Transport*

*Path Loss at 5 GHz and 31 GHz for Two Distinct Indoor Airport Settings*

*Path-connectedness of Tensor Ranks*

*Performance Analysis of Diffusion Filtered-X Algorithms in Multitask ANC Systems*

*Perfusion-based Brain Connectivity: PASL Vs pCASL*

*Permutation Alignment Based on MUSIC Spectrum Discrepancy for Blind Source Separation*

*Potential UAV Landing Sites Detection Through Digital Elevation Models Analysis*

*Power Distribution Insulators Classification Using Image Hybrid Deep Learning*

*Power-Efficient Secure Beamforming in Cognitive Satellite-Terrestrial Networks*

*Precise Response Control of Transmit-receive Two-dimensional Beampattern in FDA-MIMO Radar*

*Prediction of FDG Uptake in Lung Tumors from CT Images Using Generative Adversarial Networks*

*Prediction Residue Analysis in MPEG-2 Double Compressed Video Sequences*

*Privacy-Preserving Distributed Average Consensus Based on Additive Secret Sharing*

*Probabilistic Tensor Train Decomposition*

*Providing Spatial Control in Personal Sound Zones Using Graph Signal Processing*

*Quantifying Uncertainty in High Dimensional Inverse Problems by Convex Optimisation*

*Random Forest on an Embedded Device for Real-time Machine State Classification*

*Random Gabor Multipliers for Compressive Sensing: A Simulation Study*

*Rank-one Tensor Approximation with Beta-divergence Cost Functions*

*Rate Balancing for Multiuser Multicell Downlink MIMO Systems*

*Real-Time Hand Gesture Recognition Model Using Deep Learning Techniques and EMG Signals*

*Real-Time Prototyping of Matlab-Java Code Integration for Water Sensor Networks Applications*

*Realtime 2-D DOA Estimation Using Phase-Difference Projection (PDP)*

*Recursive LCMVEs with Non-Stationary Constraints and Partially Coherent Signal Sources*

*Reduced Complexity Maximum Likelihood Detector for DFT-s-SEFDM Systems*

*Reduced-complexity Downlink Cell-Free mmWave Massive MIMO Systems with Fronthaul Constraints*

*Reducing the Bias in DRSS-Based Localization: An Instrumental Variable Approach*

*Referenceless Performance Evaluation of Audio Source Separation Using Deep Neural Networks*

*Refined WaveNet Vocoder for Variational Autoencoder Based Voice Conversion*

*Region-based Relaxations to Accelerate Greedy Approaches*

*Regression to a Linear Lower Bound with Outliers: An Exponentially Modified Gaussian Noise Model*

*Reliable Demosaicing Detection for Image Forensics*

*Reparameterization Gradient Message Passing*

*Replay Attack Detection Using Generalized Cross-Correlation of Stereo Signal*

*Reproducibility of Deep CNN for Biomedical Image Processing Across Frameworks and Architectures*

*Resource Optimization for Cognitive Satellite Systems with Incumbent Terrestrial Receivers*

*Rethinking Sampling in Parallel MRI: A Data-Driven Approach*

*Reversible Privacy Preservation Using Multi-level Encryption and Compressive Sensing*

*Reversible Privacy Preservation Using Multi-level Encryption and Compressive Sensing*

*Robust and Responsive Acoustic Pairing of Devices Using Decorrelating Time-Frequency Modelling*

*Robust Self-Localization of Microphone Arrays Using a Minimum Number of Acoustic Sources*

*Robust Subspace Tracking with Missing Data and Outliers via ADMM*

*Robust ToA-Based Localization in a Mixed LOS/NLOS Environment Using Hybrid Mapping Technique*

*Sampling Rate and Bits per Sample Tradeoff for Cloud MIMO Radar Target Detection*

*Scale-discretised Ridgelet Transform on the Sphere*

*Scheduling Data Embedding in Dual Function Radar Networks*

*Scheduling Moldable Parallel Streaming Tasks on Heterogeneous Platforms with Frequency Scaling*

*Second-Order Time-Reassigned Synchrosqueezing Transform: Application to Draupner Wave Analysis*

*Secure Dictionary Learning for Sparse Representation*

*Segmentation of Head and Neck Tumours Using Modified U-net*

*Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight-Dimensional Spaces*

*Segmentation of Surface Cracks Based on a Fully Convolutional Neural Network and Gated Scale Pooling*

*Self-supervised Attention Model for Weakly Labeled Audio Event Classification*

*Semantic Prior Based Generative Adversarial Network for Video Super-Resolution*

*Semi-Supervised Adaptive Learning for Decoding Movement Intent from Electromyograms*

*Semidefinite Programming for MIMO Radar Target Localization Using Bistatic Range Measurements*

*Semiparametric Stochastic CRB for DOA Estimation in Elliptical Data Model*

*Sensor Fusion for Learning-based Tracking of Controller Movement in Virtual Reality*

*Sensor Selection and Rate Distribution Based Beamforming in Wireless Acoustic Sensor Networks*

*Separation of Independent / Dependent Sources Using Copulas*

*Sequential Peak Detection for Flow Cytometry*

*Ship Classification from Multi-Spectral Satellite Imaging by Convolutional Neural Networks*

*Shuffled Bits in the Low-Detectability Regime*

*Shuffling for Understanding Multifractality, Application to Asset Price Time Series*

*Signal Recovery from Phaseless Measurements of Spherical Harmonics Expansion*

*Signal Subspace Change Detection in Structured Covariance Matrices*

*Single Image Ear Recognition Using Wavelet-Based Multi-Band PCA*

*Single Image Haze Removal Using Conditional Wasserstein Generative Adversarial Networks*

*SOS Boosting for Image Deblurring Algorithms*

*Sound-based Distance Estimation for Indoor Navigation in the Presence of Ego Noise*

*Sounding Industry: Challenges and Datasets for Industrial Sound Analysis*

*Source Enumeration in Non-White Noise and Small Sample Size via Subspace Averaging*

*Sparse Bayesian Learning for a Bilinear Calibration Model and Mismatched CRB*

*Spatial Inference in Sensor Networks Using Multiple Hypothesis Testing and Bayesian Clustering*

*Spatio-Temporal Waveform Design in Active Sensing Systems with Multilayer Targets*

*Spectral Complexity Reduction of Music Signals for Cochlear Implant Users Based on Subspace Tracking*

*Spectral Visibility Graphs: Application to Similarity of Harmonic Signals*

*Spectrogram Feature Losses for Music Source Separation*

*Spectrum Insensitive Sparse Recovery with Iterative Affine Projections*

*Spectrum Sensing by Higher-Order SVM-based Detection*

*State Space Models with Dynamical and Sparse Variances, and Inference by EM Message Passing*

*Statistical Modeling of the Patches DC Component for Low-Frequency Noise Reduction*

*Structure Learning via Hadamard Product of Correlation and Partial Correlation Matrices*

*Subjective Evaluation of Light Field Image Compression Methods Based on View Synthesis*

*Subsampling of Multivariate Time-Vertex Graph Signals*

*Subspace-Based Method for Direction Estimation of Coherent Signals with Arbitrary Linear Array*

*Super-Resolution on Degraded Low-Resolution Images Using Convolutional Neural Networks*

*Surface Type Classification for Autonomous Robot Indoor Navigation*

*Surrogate Rehabilitative Time Series Data for Image-based Deep Learning*

*Switch-Based Hybrid Precoding in mmWave Massive MIMO Systems*

*Target Identification from Coded Diffraction Patterns via Template Matching*

*Temporal Convolutional Networks for Musical Audio Beat Tracking*

*Tensor Factorisation and Transfer Learning for Sleep Pose Detection*

*Tensor Network Kalman Filter for LTI Systems*

*Tensor-Train Modeling for MIMO-OFDM Tensor Coding-And-Forwarding Relay Systems*

*Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching*

*The Art of Teaching Computers: The SIMSSA Optical Music Recognition Workflow System*

*Time Modulated Array - a Database Approach*

*Tone Mapped HDR Images Contrast Enhancement Using Piecewise Linear Perceptual Transformation*

*Topology Inference and Signal Representation Using Dictionary Learning*

*Tracking Recurring Patterns in Time Series Using Dynamic Time Warping*

*Tracking Theory of Adaptive Filters with Input-Output Sampling Rate Offset*

*Training Generative Adversarial Networks with Weights*

*Training Variational Autoencoders with Discrete Latent Variables Using Importance Sampling*

*Transient Analysis of Partitioned-Block Frequency-Domain Adaptive Filters*

*TV-CAR Speech Analysis Based on Regularized LP*

*Two-Band Signal Reconstruction from Periodic Nonuniform Samples*

*Two-Channel Passive Detection Exploiting Cyclostationarity*

*Two-Way MIMO Decode-and-Forward Relaying Systems with Tensor Space-Time Coding*

*Understanding Support Vector Machines with Polynomial Kernels*

*Unsupervised Medical Image Translation Using Cycle-MedGAN*

*Variational Bayes Color Deconvolution with a Total Variation Prior*

*Variational Inference for DOA Estimation in Reverberant Conditions*

*Vehicle Path Optimization for Angle-Of-Arrival Localization*

*Virtual Adversarial Training for Semi-supervised Verification Tasks*

*Visual Quality Analysis of Judder Effect on Head Mounted Displays*

*Volumetric Surface-guided Graph-based Segmentation of Cardiac Adipose Tissues on Fat-Water MR Images*

*Waveform Optimization for FDA Radar*

*Waveform Optimization for FDA Radar*

*Weighted Subset Selection for Fast SVM Training*

*Weighted Sum Rate Maximization for Hybrid Beamforming Design in Multi-Cell Massive MIMO OFDM Systems*

*WGANSing: A Multi-Voice Singing Voice Synthesizer Based on the Wasserstein-GAN*

*Wireless Multi-group Multicast Precoding with Selective RF Energy Harvesting*