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Sparse and Compressive Sensing Techniques

Sparse and Compressive Sensing Techniques

180 faculty research Sparse and Compressive Sensing Techniques on GradNova.

J
Jialin Liu

School of Data, Mathematical and Statistical Sciences

Computer Science

University of Central Florida

Distributed Control Multi-Agent Systems
Industrial Vision Systems and Defect Detection
Metaheuristic Optimization Algorithms Research
Sparse and Compressive Sensing Techniques
+1
R
Image and Signal Denoising Methods
Model Reduction and Neural Networks
Neural Networks and Applications
Sparse and Compressive Sensing Techniques
+1
P
Blind Source Separation Techniques
Direction-Of-Arrival Estimation Techniques
Radar Systems and Signal Processing
Sparse and Compressive Sensing Techniques
+1
W
Advanced Fiber Optic Sensors
Photonic and Optical Devices
Semiconductor Lasers and Optical Devices
Sparse and Compressive Sensing Techniques
+1
A
Abhijit Mahalanobis

Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Advanced Optical Imaging Technologies
Advanced Optical Sensing Technologies
Digital Holography and Microscopy
Infrared Target Detection Methodologies
+1
J
Jyotikrishna Dass

Assistant Professor, School of Electrical, Computing, and Software Engineering

School of Electrical, Computing, and Software Engineering

University of Arizona

Advanced Memory and Neural Computing
Advanced Neural Network Applications
Face and Expression Recognition
Parallel Computing and Optimization Techniques
+1
J
Jon Tamir

Associate Professor William J. Murray, Jr. Fellowship in Engineering No. 4

Department of Electrical and Computer Engineering

The University of Texas at Austin

Advanced Fluorescence Microscopy Techniques
Advanced MRI Techniques and Applications
Advanced X-Ray Imaging Techniques
Digital Filter Design and Implementation
+1
C
Advanced MIMO Systems Optimization
Advanced Wireless Network Optimization
Machine Learning and Algorithms
Sparse and Compressive Sensing Techniques
+1
S
Machine Learning and Algorithms
Optimization and Search Problems
Sparse and Compressive Sensing Techniques
Statistical Methods and Inference
+1
E
Theoretical Computer Science
Sparse and Compressive Sensing Techniques
Machine Learning and Algorithms
Complexity and Algorithms in Graphs
+2
R
Nonlinear Optimization
Optimal Control
Power Systems
Smart Grids
+5
J
Advanced MRI Techniques and Applications
Advanced Nmr Techniques and Applications
Atomic and Subatomic Physics Research
Medical Imaging Techniques and Applications
+1
S
Advancements in Pll and Vco Technologies
Advancements in Semiconductor Devices and Circuit Design
Analog and Mixed-Signal Circuit Design
Radio Frequency Integrated Circuit Design
+1
Y
Advanced Sar Imaging Techniques
Direction-Of-Arrival Estimation Techniques
Radar Systems and Signal Processing
Sparse and Compressive Sensing Techniques
+1
S
Algorithms and Data Compression
Blind Source Separation Techniques
Cooperative Communication and Network Coding
Image and Signal Denoising Methods
+1
W
Blind Source Separation Techniques
Distributed Sensor Networks and Detection Algorithms
Image and Signal Denoising Methods
Sparse and Compressive Sensing Techniques
+1
M
Advanced Image Processing Techniques
Advanced MIMO Systems Optimization
Image and Signal Denoising Methods
Image Processing Techniques and Applications
+1
S
Cooperative Communication and Network Coding
Domain Adaptation and Few-Shot Learning
Machine Learning and Data Classification
Privacy-Preserving Technologies in Data
+1
P
Systems (control, Signal Processing and Computer Vision)
Sparse and Compressive Sensing Techniques
Blind Source Separation Techniques
Advanced Wireless Communication Techniques
+2
D
Dustin Mixon

Associate Professor, Mathematics; Associate Professor, Electrical and Computer Engineering

Department of Electrical and Computer Engineering

The Ohio State University

Advanced Numerical Analysis Techniques
Graph Theory and Cdma Systems
Image and Signal Denoising Methods
Mathematical Analysis and Transform Methods
+1
K
Nanotechnology and Devices
Systems (control, Signal Processing and Computer Vision)
Sparse and Compressive Sensing Techniques
Image and Signal Denoising Methods
+3
M
Distributed Machine Learning
Information Theory
Physical Layer Security
Signal Processing
+5
H
Advanced Vision and Imaging
Image and Signal Denoising Methods
Image Retrieval and Classification Techniques
Medical Image Segmentation Techniques
+1
A
Advanced Sar Imaging Techniques
Geophysical Methods and Applications
Microwave Imaging and Scattering Analysis
Soil Moisture and Remote Sensing
+1
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