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This article uses the novelty and applicability of adaptive genetic algorithms for the development of advanced digital radio frequency memory jammer technology uses radar CFAR detection algorithm. As a major result, demonstrates how adaptive genetic algorithms can produce effective single-resistant interference. This is an important attribute when interference uncertain radar detection algorithms...
Estimation of a suitable window shape and appropriate weights in weighted median filters is one of important problems. In this study, we formulate the design of weighted median filter as an optimization problem, and estimate optimal filters directly from degraded images. In our previous work, we estimated optimal window shapes and weights by using a Genetic Algorithm (GA) with a fixed size of window...
Generally, impulse noise filtering schemes consider all pixels within a large neighborhood. However, the estimate from all pixels within the neighborhood may not be accurate. Moreover, large window may remove edges and fine details. In contrast to this approach, we propose iterative impulse noise removal scheme that emphasizes on few noise-free pixels within a small neighborhood. This iterative process...
In order to optimize the structure parameters of tread pattern and improve the efficiency of Noise-Reduction, The width and length of pattern block, the width length and direction of pattern slot, the number of pattern strip the basic number of pattern pitch, the pitch array and the pattern misplacement were investigated as the structure parameters of tread pattern sound generating mechanism. Thereby...
Microarray technology has emerged as one of the robust methodology for quantitatively analyzing gene expressions of thousands of genes simultaneously. The experimental design, image processing and data analysis are the three major stages of microarray based analysis. The main goal of array image processing is, to measure the intensity of the spots and quantify the gene expression values based on these...
This paper proposes a genetic algorithm (GA) based beamformer to optimize speech recognition accuracy for a pretrained speech recognizer. The proposed beamformer is designed to tackle the non-differentiable and non-linear natures of speech recognition by employing the GA algorithm to search for the optimal beamformer weights. Specifically, a population of beamformer weights is reproduced by crossover...
A Pareto GA approach has been used to optimize broadband dipole antennas for use in the LWA in terms of mutual coupling performance, sky noise frequency response, and radiation pattern quality. A simple receive coupling calculation between two antennas was used in the GA to estimate mutual coupling effects in a phased array. It was found that performance trade-offs must be made between sky noise response...
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