Hybrid method for estimation of fuzzy model parameters is presented. The main idea of the method is to apply gradient descent method or Kalman filter as a mutation operator of genetic algorithm for estimation of antecedent parameters of fuzzy “IF-THEN” rules. Thus, part of the individuals in the population mutate by means of gradient descent method or Kalman filter, the others mutate in an ordi...

In view of the lack o realism of an AWGN model for ambient noise arising in many practical channels in which multiuser detection techniques may be applied, natural questions arise concerning the applicability, robustness, and performance of multiuser detection techniques for non-Gaussian multiple-access channels. In this paper, we consider the multiple access mitigation problem in DS-CDMA chann...

An anisotropic diffusion filter contoled by fuzzy rules is presented. The proposed filter is based in the Perona-Malik technique, using a fuzzy reasoning to calculate de diffusion coefficient which controls the whole diffusion. The method has the advantage that it can be used for both smoothing and noise cleaning, as well as edge enhancement. This new aproach also allows ut to model the diffusi...

In this paper, fuzzy based median filtering technique is proposed for enhancing highly corrupted digital images. This filter is obtained in two steps; in first step fuzzy decision rule is applied to detect the impulse noise on input image (noisy image). In second step, noisy pixels are removed using decision based filters. The performance of proposed filter is compared with other existing filte...

Based on the theory of fuzzy mathematics and the features of analog circuits fault diagnosis, the fuzzy immune algorithm for fault diagnosis is proposed, which overcomes the shortcomings of low quality of detectors in immune algorithms. The novel algorithm uses the particle filter to guide the mutation of antibodies and combines artificial immune with particle filter algorithm to optimize the l...

This paper presents a novel fuzzy control scheme applied to shunt active power filters for harmonic and reactive power compensation. A TSK type fuzzy logic controller is proposed for APF reference current generation. To control the maximum switching frequency of the converter within limit a novel fuzzy hysteresis band current controller is used. The band height, based on fuzzy control principle...

A new two-step fuzzy filter that adopts a fuzzy logic approach for the enhancement of images corrupted with impulse noise is presented in this paper. The filtering method (entitled as Fuzzy Random Impulse Noise Reduction method (FRINR)) consists of a fuzzy detection mechanism and a fuzzy filtering method to remove (random-valued) impulse noise from corrupted images. Based on the criteria of pea...

An adaptive fuzzy control system with supervisory controller is proposed to improve dynamic performance of three-phase active power filter APF . The proposed adaptive fuzzy controller for APF does not build an accuratemathematical model but approximates the nonlinear characteristics of APF using fuzzy approximation. The adaptive law based on the Lyapunov analysis can adaptively adjust the fuzzy...

Image Reduction is one of the most important image processing tasks. In this article, a new fuzzy filter is presented for the removal of impulse noise in gray and color images. The filter consists of two stages. In the first stage, using trapezoid membership function four values are used to detect whether a given pixel contains noise or not. In the second stage fuzzy enhanced classifier is appl...

This paper presents a new filtering approach based on fuzzy-logic which has high performance in mixed noise environments. This filter is mainly based on the idea that each pixel is not allowed to be uniformly fired by each of the fuzzy rules. We perform several test experiments in order to highlight the merit of the proposed method. The results are very promising and indicating the high perform...