Maximum-likelihood processing is partially based on conventional cross-correlation; however, it does not assign one single correlation-maximized location to each single-particle image.
Maximum-likelihood processing for 3D reconstructions is, however, computationally very expensive, and in the past its use has been limited by the availability of processing resources.
Maximum likelihood estimation possesses obvious advantages in processing censoring data.
As it is widely known, there are four typical methods for passive synthetic array, namely, the method introduced by Yen and Carey [1], Extended towed-array measurements (ETAM) [2], Maximum Likelihood method (ML) [3], and FFT Synthetic Aperture processing method (FFTSA) [4].
A redundant data processing algorithm based on maximum likelihood was designed.
Maximum likelihood sequence detection is implemented using per-survivor processing method.
In our implementation, the cost function updated is closely related to expectation maximisation maximum likelihood (EMML) which has been studied in image processing [34].
They then used a statistical method called the maximum likelihood technique, which helped them work out what processing of inputs at a cell's receptors would provide the best estimate of the chemical concentration.
Analysis of heterogeneous mixtures of particles visualized by cryo-EM is facilitated by improvements in image processing, in particular the use of maximum likelihood classification techniques (Scheres, 2010; Scheres, 2012b).
Thus for adaptive processing, it is common to replace with its maximum likelihood estimation (MLE) [1 3]: (2).
The acoustic emission data pre-processing to extract damage sensitive health indicators and the maximum likelihood estimation of the model parameters from the training set are discussed in detail.
