Skip to main navigation
Skip to search
Skip to main content
Arizona Board of Regents Home
Home
Profiles
Departments and Centers
Scholarly Works
Grants
Activities
Equipment
Datasets
Press/Media
Prizes
Search by expertise, name or affiliation
Discrete Time Signal Localization Accuracy in Gaussian Noise at Low Signal to Noise Ratios
Chris Hall,
Ivan Djordjevic
Electrical and Computer Engineering
Optical Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Discrete Time Signal Localization Accuracy in Gaussian Noise at Low Signal to Noise Ratios'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Engineering
Localization Accuracy
100%
Signal-to-Noise Ratio
100%
Gaussian White Noise
100%
Discrete Time Signal
100%
Time-of-Arrival
40%
Gaussians
40%
Cramr-Rao Lower Bound
40%
Matched Filtering
40%
Geolocation
20%
Simulation Result
20%
Measurement Time
20%
Error Distribution
20%
Probability of Detection
20%
Additive White Gaussian Noise
20%
Localization Error
20%
Missed Detection
20%
Discrete Signal
20%
Computational Constraint
20%
Computer Science
Gaussian White Noise
100%
Noise-to-Signal Ratio
100%
Discrete Time Signal
100%
Rao Lower Bound
40%
Error Variance
40%
Probability Mass Function
40%
Time Difference
20%
Additive White Gaussian Noise
20%
Filtering Operation
20%
Discrete Signal
20%
Keyphrases
Tracking Simulation
25%