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Spatio-Temporal Environment Monitoring Leveraging Sparsity
Venkat Roy
Signal Processing Systems
Research output
:
Thesis
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Dissertation (TU Delft)
38
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Dive into the research topics of 'Spatio-Temporal Environment Monitoring Leveraging Sparsity'. Together they form a unique fingerprint.
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Computer Science
Sparsity
100%
Sensor Networks
100%
Standards
66%
Sensor Placement
66%
Links
66%
Process Model
66%
Extended Kalman Filter
33%
Signal Processing
33%
Roles
33%
Optimization Framework
33%
Optimization Problem
33%
Estimation Performance
33%
Kalman Filtering
33%
Algorithms
33%
Energy Efficient
33%
Estimation Accuracy
33%
INIS
monitoring
100%
sensors
100%
environment
100%
physical properties
45%
dynamics
36%
management
27%
resources
27%
accuracy
27%
resolution
18%
optimization
18%
correlations
18%
filters
18%
microwave radiation
9%
prediction
9%
advection
9%
energy
9%
accumulation
9%
applications
9%
values
9%
diffusion
9%
attenuation
9%
processing
9%
ground truth
9%
space
9%
errors
9%
physics
9%
maintenance
9%
performance
9%
statistical models
9%
algorithms
9%
rain
9%
signals
9%
Engineering
Fields
100%
Sensor
50%
Estimation
21%
Models
14%
Field Estimation
14%
Environmental Sensor
14%
Ground Truth
7%
General Class
7%
Optimization
7%
Estimator
7%
State Process
7%
Broader Class
7%
Statistical Characterization
7%
Field Intensity
7%
Battery Life
7%
Correlation Time
7%
Optimisation Problem
7%
Tasks
7%
Advection
7%
Physical Behavior
7%
Kalman Filter
7%
Energy Engineering
7%
Physics
Environment
100%
Detection
75%
Sensor Network
37%
Standard
25%
Microwave
12%
Accumulations
12%
Physics
12%
Battery
12%
Chemical Engineering
Microwave
100%
Earth and Planetary Sciences
Spatial effects
12%