Sentence examples for minimum entropy deconvolution from inspiring English sources

Minimum entropy deconvolution (MED) has been widely applied to extract the repetitive transients.

Minimum Entropy Deconvolution (MED) filter, which is a non-parametric approach for impulsive signature detection, has been widely studied recently.

The filter coefficients that greatly influence the performance of the minimum entropy deconvolution are calculated by an iterative procedure.

Without the prior assumption of distortion function, high-order statistics methods are wildly used; one of the optimality criteria is MED (minimum entropy deconvolution).

Specifically, we exploit the principle of minimum entropy deconvolution and derive a blind equalization cost function for APSK signals and optimize it using Newton׳s method.

An effective bearing faults detection algorism is developed by employing several advanced signal processing techniques, including Cepstrum whitening, minimum entropy deconvolution (MED), spectral kurtosis (SK) and envelope analysis.

This paper describes an improved approach, which uses the ℓ0−norm regularization algorithm with the minimum entropy based deconvolution, which gives the benefits of faster convergence of algorithms and increase robustness to additive noise and inverse filter length.

Note that the minimum entropy value is located at. Figure 7 Entropy values within the interval.

(a) RD image obtained by conventional minimum entropy methods.

That is, the minimum entropy corresponds to optimal image segmentation.

The optimal mass-transfer time, minimum entropy production rate and minimum power input are calculated.