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Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques

180 faculty research Sparse and Compressive Sensing Techniques on GradNova.

M
Advanced MIMO Systems Optimization
Advanced Optimization Algorithms Research
Cooperative Communication and Network Coding
Sparse and Compressive Sensing Techniques
+1
M
Advanced MRI Techniques and Applications
Atomic and Subatomic Physics Research
Cardiac Imaging and Diagnostics
Medical Imaging Techniques and Applications
+1
S
Samet Oymak

Associate Professor, EECS – Electrical and Computer Engineering

Department of Electrical and Computer Engineering

University of Michigan

Principled Methods and Theories for Data Science and Machine Learning to Enable Resource Efficiency and Trustworthy Decision-Making
Sparse and Compressive Sensing Techniques
Stochastic Gradient Optimization Techniques
Domain Adaptation and Few-Shot Learning
+2
J
Jeffrey A. Fessler

William L. Root Distinguished University Professor of Electrical Engineering and Computer Science; Professor, EECS – Electrical and Computer Engineering; Professor (courtesy), Biomedical Engineering; Radiology

Department of Electrical and Computer Engineering

University of Michigan

Machine-Learning Methods for Inverse Problems.
Parameter Estimation
Statistical Signal and Image Processing
Tomographic Imaging
+5
C
3D Shape Modeling and Analysis
Advanced Vision and Imaging
Generative Adversarial Networks and Image Synthesis
Medical Image Segmentation Techniques
+1
S
Adversarial Robustness in Machine Learning
Cryptography and Data Security
Ethics and Social Impacts of AI
Explainable Artificial Intelligence (xai)
+1
B
Blind Source Separation Techniques
EEG and Brain-Computer Interfaces
Functional Brain Connectivity Studies
Neural Dynamics and Brain Function
+1
S
Advanced MIMO Systems Optimization
Cognitive Radio Networks and Spectrum Sensing
Cooperative Communication and Network Coding
Distributed Sensor Networks and Detection Algorithms
+1
R
Advanced MIMO Systems Optimization
Cooperative Communication and Network Coding
Indoor and Outdoor Localization Technologies
Sparse and Compressive Sensing Techniques
+1
Z
Advanced Electron Microscopy Techniques and Applications
Medical Imaging Techniques and Applications
Model Reduction and Neural Networks
Pulsars and Gravitational Waves Research
+1
R
Advanced Optimization Algorithms Research
Matrix Theory and Algorithms
Power System Optimization and Stability
Sparse and Compressive Sensing Techniques
+1
F
Geomagnetism and Paleomagnetism Studies
Geophysics and Gravity Measurements
Ionosphere and Magnetosphere Dynamics
Solar and Space Plasma Dynamics
+1
M
Advanced Bandit Algorithms Research
Distributed Sensor Networks and Detection Algorithms
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
+1
B
Adaptive Dynamic Programming Control
Electromagnetic Scattering and Analysis
Electromagnetic Simulation and Numerical Methods
Reinforcement Learning in Robotics
+1
M
Advanced Sar Imaging Techniques
Blind Source Separation Techniques
Image and Signal Denoising Methods
Radar Systems and Signal Processing
+1
D
Blind Source Separation Techniques
SARS-Cov-2 Detection and Testing
Software Testing and Debugging Techniques
Sparse and Compressive Sensing Techniques
+1
K
Advanced Adaptive Filtering Techniques
Blind Source Separation Techniques
ECG Monitoring and Analysis
Image and Signal Denoising Methods
+1
G
Advancements in Photolithography Techniques
Image and Signal Denoising Methods
Microwave Imaging and Scattering Analysis
Photoacoustic and Ultrasonic Imaging
+1
S
Advanced Optimization Algorithms Research
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
Stochastic Gradient Optimization Techniques
+1
R
Rebecca Willett

Worah Family Professor in the Wallman Society of Fellows, Computer Science, Statistics, and the College

Computer Science

University of Chicago

Image and Signal Denoising Methods
Medical Imaging Techniques and Applications
Photoacoustic and Ultrasonic Imaging
Sparse and Compressive Sensing Techniques
+1
N
Blind Source Separation Techniques
Cooperative Communication and Network Coding
Error Correcting Code Techniques
Indoor and Outdoor Localization Technologies
+1
S
Machine Learning and Data Classification
Protein Structure and Dynamics
Sparse and Compressive Sensing Techniques
Tensor Decomposition and Applications
+1
C
Complex Network Analysis Techniques
Distributed Control Multi-Agent Systems
Energy Efficient Wireless Sensor Networks
Mathematical and Theoretical Epidemiology and Ecology Models
+1
G
Adversarial Robustness in Machine Learning
Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Reinforcement Learning in Robotics
+1
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