Signal Processing for Communications and Networking

Learning Sparse Graphs via Majorization-Minimization for Smooth Node Signals

Gridless DOA Estimation with Multiple Frequencies

Parametric Ambisonic Encoding of Arbitrary Microphone Arrays

Self-Supervised Graphs for Audio Representation Learning With Limited Labeled Data

Difference-Frequency MUSIC for DOAs

Online Inference for Mixture Model of Streaming Graph Signals With Sparse Excitation

DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech Enhancement

Trainable Subspaces for Low Rank Tensor Completion: Model and Analysis

Joint Privacy Enhancement and Quantization in Federated Learning

Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way

Coherent long-time integration and Bayesian detection with Bernoulli track-before-detect

Learning Multiscale Convolutional Dictionaries for Image Reconstruction