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Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques

180 faculty research Sparse and Compressive Sensing Techniques on GradNova.

D
Algorithms and Data Compression
Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Microwave Imaging and Scattering Analysis
+1
I
Ivan Selesnick

Professor of Electrical and Computer Engineering & Biomedical Engineering

Department of Electrical and Computer Engineering

New York University

Advanced Image Fusion Techniques
Digital Filter Design and Implementation
Image and Signal Denoising Methods
Photoacoustic and Ultrasonic Imaging
+1
C
Advanced X-Ray Imaging Techniques
Generative Adversarial Networks and Image Synthesis
Image and Signal Denoising Methods
Model Reduction and Neural Networks
+1
J
James E. Fowler

Department Head and James W. Bagley Chair, William L. Giles Professor

Department of Electrical and Computer Engineering

Mississippi State University

Advanced Image Processing Techniques
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
A
Bayesian Modeling and Causal Inference
Complexity and Algorithms in Graphs
Machine Learning and Algorithms
Markov Chains and Monte Carlo Methods
+1
M
Safety and Stability of Learning-Enabled Autonomous Systems
Adversarial Robustness in Machine Learning
Fault Detection and Control Systems
Advanced Control Systems Optimization
+2
R
Rama Chellappa

Bloomberg Distinguished Professor and Former Interim Director of the Data Science and AI Institute

Department of Electrical and Computer Engineering

Johns Hopkins University

Biometrics
Computer Vision
Image and Signal Processing
Machine Learning
+6
C
Advanced Memory and Neural Computing
EEG and Brain-Computer Interfaces
Neural Dynamics and Brain Function
Software Engineering Research
+1
V
Domain Adaptation and Few-Shot Learning
Face and Expression Recognition
Neural Networks and Applications
Sparse and Compressive Sensing Techniques
+1
M
Advanced Optimization Algorithms Research
Distributed Control Multi-Agent Systems
Privacy-Preserving Technologies in Data
Sparse and Compressive Sensing Techniques
+1
M
Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Image and Signal Denoising Methods
Microwave Imaging and Scattering Analysis
+1
H
Advanced Graph Theory Research
Mobile Ad Hoc Networks
Network Security and Intrusion Detection
Network Traffic and Congestion Control
+1
Z
Zhi Tian

Professor, Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

George Mason University

Distributed Learning for Mas
Information Fusion
Multi-Robot Coordination
Wireless Ad Hoc Networks
+5
V
Vahid Tarokh, Ph.D.

Rhodes Family Distinguished Professor of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Duke University

Dependence Modeling
Extreme Value Theory
Foundations of AI
Foundations of Signal Processing
+11
G
Galen Reeves

Associate Professor in the Department of Electrical and Computer Engineering

Department of Electrical and Computer Engineering

Duke University

Compressed Sensing
High-Dimensional Statistical Inference
Information Theory
Machine Learning
+6
Y
Yaser Esmaeili Salehani

Part-time instructor, Supply Chain and Business Technology Management; Part-time instructor, Computer Science and Software Engineering

Computer Science

Concordia University

Computer Vision
Data Analysis
Machine Learning
Remote Sensing
+5
A
Blind Source Separation Techniques
Direction-Of-Arrival Estimation Techniques
Distributed Sensor Networks and Detection Algorithms
Radar Systems and Signal Processing
+1
M
Michael Wakin

Professor, NSF CAREER Winner, IEEE Fellow

Electrical Engineering

Colorado School of Mines

Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Image and Signal Denoising Methods
Microwave Imaging and Scattering Analysis
+1
D
Advanced Optimization Algorithms Research
Complex Network Analysis Techniques
Model Reduction and Neural Networks
Sparse and Compressive Sensing Techniques
+1
J
Advanced MIMO Systems Optimization
Advanced Wireless Communication Techniques
Distributed Sensor Networks and Detection Algorithms
Error Correcting Code Techniques
+1
R
Advanced Wireless Communication Techniques
Analog and Mixed-Signal Circuit Design
Error Correcting Code Techniques
Radio Frequency Integrated Circuit Design
+1
V
Advanced Data Compression Techniques
Advanced Optical Sensing Technologies
Distributed Sensor Networks and Detection Algorithms
Image and Signal Denoising Methods
+1
E
Emiliano Dall’Anese, PhD

Interim Division Head, Division of Systems Engineering, Associate Professor (ECE, SE Appointed) Associate Division Head, Division of Systems Engineering

Department of Electrical and Computer Engineering

Boston University

Microgrid Control and Optimization
Optimal Power Flow Distribution
Power System Optimization and Stability
Smart Grid Energy Management
+1
A
Advanced Bandit Algorithms Research
Machine Learning and Algorithms
Optimization and Search Problems
Sparse and Compressive Sensing Techniques
+1
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