Spectral Estimators that Extend the Maximum Entropy and Maximum Likelihood Methods
Abstract
References
Index Terms
- Spectral Estimators that Extend the Maximum Entropy and Maximum Likelihood Methods
Recommendations
Modified maximum likelihood estimators using ranked set sampling
The closed-form maximum likelihood estimators (MLEs) of population mean and variance under ranked set sampling (RSS) do not exist since the likelihood equations involve nonlinear functions and have usually no explicit solutions. We derive modified ...
Threshold region performance of maximum likelihood direction of arrival estimators
This paper presents a performance analysis of the maximum likelihood (ML) estimator for finding the directions of arrival (DOAs) with a sensor array. The asymptotic properties of this estimator are well known. In this paper, the performance under ...
Maximum Likelihood Estimation Methods for Multispectral Random Field Image Models
This work considers the problem of estimating parameters of multispectral random field (RF) image models using maximum likelihood (ML) methods. For images with an assumed Gaussian distribution, analytical results are developed for multispectral ...
Comments
Information & Contributors
Information
Published In
Publisher
Society for Industrial and Applied Mathematics
United States
Publication History
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in