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A Randomized Algorithm for Parsimonious Model Identification
Burak Yilmaz
, Korkut Bekiroglu
,
Constantino Lagoa
, Mario Sznaier
Electrical Engineering
Research output
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Contribution to journal
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Article
›
peer-review
17
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Scopus citations
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Keyphrases
Randomized Algorithms
100%
Parsimonious Models
100%
Model Identification
100%
Noisy Data
50%
Linear Time-varying Systems
50%
System Identification
50%
Computational Complexity
50%
PRESENT Algorithm
50%
Least Absolute Shrinkage and Selection Operator (LASSO)
50%
Nuclear Norm Minimization
50%
Nonconvex Problem
50%
Model Order
50%
Atomic Norm
50%
Sparse Model
50%
Non-anechoic Measurements
50%
Unknown Initial Conditions
50%
Order Constraint
50%
Engineering
Invariant System
100%
Linear Time Invariant
100%
Initial Condition
100%
Computational Complexity
100%
Priori Knowledge
100%
Substantial Increase
100%
Noisy Data
100%
Mathematics
Initial Condition
100%
Nonuniform
100%
Linear Time
100%
Noisy Data
100%
Priori Knowledge
100%
Nonconvex Problem
100%
Invariant System
100%
Computer Science
Randomized Algorithm
100%
Identification Model
100%
Computational Complexity
50%
Model Complexity
50%
System Identification
50%
linear time invariant system
50%
Priori Knowledge
50%
Initial Condition
50%
Nuclear Norm
50%