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Optimal and Suboptimal Broad-Band Source Location Estimation
Peter M. Schultheiss,
Hagit Messer
School of Electrical Engineering
Yale University
Research output
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Contribution to journal
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Article
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peer-review
31
Scopus citations
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Dive into the research topics of 'Optimal and Suboptimal Broad-Band Source Location Estimation'. Together they form a unique fingerprint.
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Keyphrases
Source Location Estimation
100%
Wideband Sources
100%
ML Estimator
100%
Spectral Parameter
66%
Gaussian Signals
66%
Maximum Likelihood Estimator
66%
Direction of Arrival
66%
Popular
33%
Significant Loss
33%
Estimation Problem
33%
High Signal-to-noise Ratio
33%
Analytic Expression
33%
Signal Spectrum
33%
All-source
33%
Noise Spectrum
33%
Spectral Level
33%
Gaussian Noise
33%
Asymptotic Efficiency
33%
Cramer-Rao Lower Bound
33%
Zero Mean
33%
Performance Difference
33%
Error Variance
33%
Source Separation
33%
Parameter Estimation Algorithm
33%
Direction of Arrival Estimation
33%
Smoothness Condition
33%
Conditional Maximum Likelihood Estimator
33%
Maximum Likelihood Parameter Estimation
33%
Far-field Signals
33%
Gaussian Maximum Likelihood
33%
Computer Science
Location Estimation
100%
Source Location
100%
Machine Learning
100%
maximum-likelihood
83%
direction-of-arrival
50%
Approximation (Algorithm)
16%
Estimation Algorithm
16%
Noise-to-Signal Ratio
16%
Analytic Expression
16%
Parameter Estimation
16%
Source Separation
16%
Error Variance
16%
Assumed Distribution
16%
crame rao low bound
16%
Performance Difference
16%
Gaussian White Noise
16%
Engineering
Gaussians
100%
Location Estimation
100%
Broadband Source
100%
Maximum Likelihood
83%
Direction of Arrival
33%
Limitations
16%
Closed Form
16%
Parameter Estimation
16%
Broad Band
16%
Signal-to-Noise Ratio
16%
Signal Spectrum
16%
Gaussian White Noise
16%
Noise Spectra
16%
Source Separation
16%
Direction-of-Arrival Estimation
16%
Mathematics
Gaussian Distribution
100%
Source Location
100%
Conditionals
83%
Stochastics
83%
Maximum Likelihood Estimator
66%
Maximum Likelihood
16%
Closed Form
16%
Parameter Estimation
16%
Noise Ratio
16%
Analytic Expression
16%
Error Variance
16%
Assumed Distribution
16%
Random Noise
16%