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Optimal sampling of random processes under stochastic energy constraints
Jing Yang
, Jingxian Wu
Electrical Engineering
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
7
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Scopus citations
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Dive into the research topics of 'Optimal sampling of random processes under stochastic energy constraints'. Together they form a unique fingerprint.
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Keyphrases
Mean Squared Error
100%
Random Process
100%
Energy Conservation
100%
Optimal Sampling
100%
Stochastic Energy
100%
Energy Harvesting
50%
Sampling Scheme
50%
Asymptotically Optimal
50%
Sampling Policy
50%
Markovian Property
50%
Power Law
25%
Discrete-time
25%
Optimal Estimation
25%
Covariance
25%
Sensing System
25%
Ambient Environment
25%
Stochastic Programming Problems
25%
Long-term Average
25%
Sample Path
25%
Minimum Mean Square Error Estimator
25%
Linear Minimum Mean Square Error (LMMSE)
25%
Inverse Covariance Matrix
25%
Stationary Random Process
25%
Wide Sense Stationary
25%
Mathematics
Stochastics
100%
Random Process
100%
Squared Error
75%
Energy Harvesting
50%
Mean Squared Error Estimation
50%
Sampling Scheme
50%
Markovian Property
50%
Power Law
25%
Covariance
25%
Discrete Time
25%
Minimizes
25%
Programming Problem
25%
Optimal Estimation
25%
Wide Sense
25%
Inverse Covariance Matrix
25%
Sense Stationary Random Process
25%
Sample Path
25%
Computer Science
Sampling Scheme
100%
discrete-time
50%
Stochastic Programming
50%
Covariance Matrix
50%
Ambient Environment
50%
Error Estimation
50%