minimum entropy
ISAR Image Improvement Using STFT Kernel Width Optimization Based On Minimum Entropy Criterion
... Nowadays, Radar systems have many applications and radar imaging is one of the most important of these applications. Inverse Synthetic Aperture Radar (ISAR) is used to form an image from moving targets. Conventional ...
8
Minimum entropy restoration using FPGAs and high-level techniques
... One of the greatest perceived barriers to the widespread use of FPGAs in image processing is the difficulty for application specialists of developing algorithms on reconfigurable hard- ware. Minimum entropy ...
10
An Analytical Model of Web Server Load Distribution by Applying a Minimum Entropy Strategy
... with minimum entropy ...the minimum entropy load balancing strategy with the traditional RR-DNS, the RR- DNS [3] and ...the minimum average page response time, this can deduce whether ...
5
Translational motion compensation for ISAR imaging under low SNR by minimum entropy
... proposed minimum entropy ...the minimum entropy coarse ...and minimum entropy ...gain, minimum entropy initialization provides precise coarse coefficients, and the ...
19
Online Full Text
... quadratic entropy of the output under the minimum entropy control ...The entropy can be used to measure many other characteristics of the random disturbance, such as similarity, equality, ...
6
Constrained entropy-based temperature control of waste heat systems
... generalized minimum entropy controller is proposed to control the superheated vapour temperature in ORC ...the entropy or information potential of the output tracking error rather than the mean ...
7
II MINIMUM VALUE OF AN UNORTHODOX MEASURE OF ENTROPY WHEN ARITHMETIC MEAN AND SECOND ORDER MOMENT ARE GIVEN: SPECIAL CASE:
... of minimum entropy for any two subintervals is ...over entropy from one set of values of (β, ππ, ππ) to another set of values of (β, ππ, ππ) ...
10
Inevitability of the emergence and persistence of genetic parasites caused by evolutionary instability of parasite-free states
... i.e. minimum entropy, ...higher entropy state, such that RRS < RES, and at least some parts of the RES can be mutated or deleted without compromising ...higher entropy states is obviously ...
12
Thermodynamic Formulation of Living Systems and Their Evolution
... where entropy is produced by the irreversible processes, considering as an established fact that this entropy is eliminated through their frontiers to preserve ...of minimum entropy production ...
13
Subinteger Range-Bin Alignment Method for ISAR Imaging of Noncooperative Targets
... Methods for translational motion compensation work in two steps [16]: range-bin alignment and phase adjustment. For the first stage, which is the motivation of this paper, several methods may be found in the literature, ...
16
1. can economic entropy be integrated into both it and human systems?
... Maximum Entropy Production: Finalities In Natureβ in Cosmos and History: The Journal of Natural and Social Philosophy, ...maximum entropy for a better understanding of human ...to entropy by Power = ...
7
ENTROPY MEASURE INTEGRATED FUZZY GOWA OPERATORS APPROACH FOR MULTI-ATTRIBUTE DECISION MAKING.
... The entropy weights which are based on mathematical computation gives the reliable decision unlike subjective weights which are vaguely measured with linguistic ...
8
Mining Frequent Patterns of Crime using FP Growth with Multiple Minimum Supports based on Shannon Entropy
... multiple minimum support approach, association rules definition remains the same as presented in section ...the minimum support for any itemset is given as ...
8
Multipath estimation based on modified Ξ΅-constrained rank-based differential evolution with minimum error entropy
... the entropy, which is a scalar quantity in information theory that quantifies the average uncertainty involved in a random variable ...[21]. Entropy can be used to depict the higher-order statistics of a ...
15
Exergy concept and exergetic analysis: review
... Efficiency has always been an important consideration in decision making regarding resource utilization. Efficiency is defined as βthe ability to produce a desired effect without waste of, or with minimum use of, ...
8
Entropy Density Acceleration and Minimum
... IEDA associated to matter transfer inside the cell for lactic acid fermentation and respiration. A 666[r] ...
17
Approximating non gaussian bayesian networks using minimum information vine model with applications in financial modelling
... Here, we want to generate a PCC-DAG approximation fitted to this data set using entropy distributions based on the different basis. Indeed, the real challenge is in connecting DAG models to vines. We try to ...
37
On the construction of minimum information bivariate copula families
... The remainder of the paper is organised as follows. In Section 2 we review copulas, information and entropy. In Section 3 we outline the solution to the continuous optimization problem, initially considering the ...
21
Segmentation of Human Spermatozoa using Threshold Based Image Segmentation
... The Minimum thresholding method has lost some of the ROI in the segmented image and has yielded threshold value as 126, which is very far from the desired thresholding (given in ...
6
A comparative study on approximate entropy measures and Poincare plot indexes of minimum foot clearance variability in the elderly during walking
... the minimum vertical distance between the lowest point under the front part of the shoe/ foot and the ground, has been identified as an important gait parameter in the successful negotiation of the envi- ronment ...
10