[PDF] Top 20 Maximum likelihood DOA estimation based on the cross-entropy method
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Maximum likelihood DOA estimation based on the cross-entropy method
... Moreover, the ML methods can alleviate the mutual can- cellation effect caused by the coherent sources and provide high estimation ...However, the multi-dimensional optimization nature ... See full document
5
Nonparametric maximum likelihood estimation for dependent truncation data based on copulas
... when the variable of interest can be observed only if its value satisfies certain selection ...rely on the assumption that the truncation variable is quasi-independent of the variable ... See full document
18
Estimation of Soil Depth Using Bayesian Maximum Entropy Method
... of the exponential Kriging model are displayed in Figure 5, suggesting that overshoot or undershoot are more likely to happen in the “very shallow” and “very deep” grades than in grade “shallow” and ... See full document
17
9.1 Maximum Likelihood Estimation : Motivation and Examples
... Point Estimation In this chapter, the basic terminology and concepts of parametric point estimation were introduced ...In the present chapter, we are going to elaborate extensively on ... See full document
12
The Methodology of the Maximum Likelihood Approach Estimation, detection, and exploration of seismic events
... under the plane wave model. Since the ML method is a model-based approach, it can be expected that further improvement in estimation accuracy can be achieved if a more realistic seismic ... See full document
7
String-averaging expectation-maximization for maximum likelihood estimation in emission tomography
... statistically based, experimental work is called for to asses the SAEM method’s potential in realistic ...to the anonymous reviewers whose insightful comments encouraged us to extend some of ... See full document
21
String-averaging expectation-maximization for maximum likelihood estimation in emission tomography
... statistically based, experimental work is called for to asses the SAEM method’s potential in realistic ...to the anonymous reviewers whose insightful comments encouraged us to extend some of ... See full document
21
Generation of Two-Dimensional Optical Reference Signals Based on Parametric Minimum Cross Entropy
... second maximum threshold. For each system under considera- tion, the threshold is chosen as the second maximum obtained by the CE method shown in Table ...I. The search ... See full document
3
Blind Maximum-Likelihood Carrier-Frequency-Offset Estimation for Interleaved OFDMA Uplink Systems
... and the proposed algo- rithm (M = ...grid-search method. Note that the purpose of the expansion is different from ...use the optimum λ to achieve the best ...shows the ... See full document
14
A Derivation on the Equivalence Between Newton's Method and DF DFT-Based Method for Channel Estimation in OFDM Systems
... timation method derived from the maximum likelihood (ML) criterion is originally proposed for orthogonal frequency division multiplexing (OFDM) systems with pilot preambles ...this ... See full document
6
Precise Segmentation Rendering for Medical Images Based on Maximum Entropy Processing
... in the gray scale values of an image. They focus on the differences and transitions of the intensity of an ...image. The disadvantage in these methods is that they almost always result ... See full document
4
Precise Segmentation Rendering for Medical Images Based on Maximum Entropy Processing
... in the gray scale values of an image. They focus on the differences and transitions of the intensity of an ...image. The disadvantage in these methods is that they almost always result ... See full document
4
CROSS-REFERENCE MAXIMUM LIKELIHOOD ESTIMATE RECONSTRUCTION FOR POSITRON EMISSION TOMOGRAPHY
... The proposed method, which is named as a cross-reference maximum likelihood estimate (CRMLE), has been shown to not only fully utilize the correlated structure information to obtain a be[r] ... See full document
9
An approximate maximum entropy solution for bearing estimation of coherent sources
... In this paper the problem of bearing estimation of coherent sources is treated exactly same as the spectral estimation of sinusdial processes based on single snap-sh[r] ... See full document
4
On the common mean of several inverse Gaussian distributions based on a higher order likelihood method
... see the type I errors based on the simple t-test method are not stable since the type I errors decrease as the mean parameter under the null hypothesis ... See full document
11
A Separable Cross-Entropy Approach to Power Spectral Estimation
... Hopefully, the variance of y, in this separable approximation would then be a good estimate of P ( o k ). The separability of the model, moreover, will often simplify furt[r] ... See full document
9
Joint synchronization, channel length estimation, and channel estimation for the maximum likelihood sequence estimator for high speed wireless communications
... estimated. The equalizer is then optimized based on the channel ...channel estimation algorithms preset a fixed length for the ...however, the actual length of the ... See full document
5
Quantitative CARS Molecular Fingerprinting of Single Living Cells with the Use of the Maximum Entropy Method
... of the single frequency CARS imaging so far has been performed at the CH stretch band, it would be useful to compare the signal-to-noise ratio (SNR) in the CH stretch region with that in ... See full document
5
Pilot-assisted maximum-likelihood frequency-offset estimation for OFDM systems
... channel’s maximum delay spread is shorter than the length of the cyclic ...when the carrier frequency is 5 GHz, we plot the corresponding MSE performance in ...during the ... See full document
12
Model-independent maximum-entropy method for the analysis of sum-frequency vibrational spectroscopy
... background the imaginary part of the NLO sus- ceptibility is symmetric while the real part is antisym- metric relative to the resonant ...frequency. The peak po- sitions of the ... See full document
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