نتایج جستجو برای: adaptive signal segmentation

تعداد نتایج: 659417  

2006
Daan Zhu Kate H. Sullivan Stamatis N. Pagakis Stelios Psarras

In this paper, we describe the application of an adaptive fuzzy clustering algorithm to the segmentation of colour biomedical images. In comparison to traditional colour image segmentation algorithms, the advantage of this algorithm is intelligent location of a range of chosen colours (ROC) based on a manually selected reference colour. The colours within the ROC have similar colour properties ...

2000
Datchakorn Tancharoen Somchai Jitapunkul Panachit Kittipanya-ngam Narin Siritaranukul

Video segmentation for object based video coding according to MPEG-4 should be able to segment interested objects in video sequence clearly. This paper presents the object segmentation algorithm which image features are combined to use in segmentation process following to characteristic of video signal. Because the combination of many features in video sequence is a method that can achieve high...

Journal: :the modares journal of electrical engineering 2011
mahdi bekrani mojtaba lotfizad

one of the problems associated with adaptive fir filters in the identification of systems with long impulse responses, is their excessive computational complexity. recently a new kind of adaptive filters, based on three-level clipping of the input signal has been presented for reduction of their computational complexity. in this paper, a theoretical analysis of the steady-state misalignment of ...

Journal: :Information 2023

In wireless sensor networks (WSNs), the target positioning and tracking are very important topics. There many different methods used in tracking, for example, angle of arrival (AOA), time (TOA), difference (TDOA), received signal strength (RSS). This paper uses an artificial fish swarm algorithm (AFSA) indicator (RSSI) channel model indoor tracking. The performance eight method combinations fix...

Journal: :iranian journal of fuzzy systems 2014
m. b. menhaj h. shakouri g m. arabi

annihilation or reduction of each kind of noise blended in correct data signals is a field that has attracted many researchers. it is a fact that fuzzy theory presents full capability in this field. fuzzy filters are often strong in smoothing corrupted signals, whereas they have simple structures. in this paper, a new powerful yet simple fuzzy procedure is introduced for sharpness reduction in ...

Two phenomena can produce chattering: switching of input control signal and the large amplitude of this switching (switching gain). To remove the switching of input control signal, dynamic sliding mode control (DSMC) is used. In DSMC switching is removed due to the integrator which is placed before the plant. However, in DSMC the augmented system (system plus the integrator) is one dimension bi...

Underwater acoustic communication systems suffer from the channel impairments which results in time spreading of the transmitted signal. In underwater environment, multiple replicas of the transmitted signal are received at the receiver through different paths, which causes significant Inter-Symbol Interference (ISI). Decision Feedback Equalizers (DFE) was utilized to overcome this type of inte...

Journal: :Computer Vision and Image Understanding 2012
Max Mignotte

In this paper, we present an original image segmentation model based on a preliminary spatially adaptive non-linear data dimensionality reduction step integrating contour and texture cues. This new dimensionality reduction model aims at converting an input texture image into a noisy color image in order to greatly simplify its subsequent segmentation. In this latter de-texturing model, the (spa...

Journal: :IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 1997
Hélène Caillol Wojciech Pieczynski Alain Hillion

This paper addresses the estimation of fuzzy Gaussian distribution mixture with applications to unsupervised statistical fuzzy image segmentation. In a general way, the fuzzy approach enriches the current statistical models by adding a fuzzy class, which has several interpretations in signal processing. One such interpretation in image segmentation is the simultaneous appearance of several them...

A. N. Glushkov B. V. Matveev L. A. Golpaiegani, O. V. Chernoyarov V. P. Lintvinenko

We have developed the effective algorithm for detecting digital binary phase-shift keyed signals. This algorithm requires a small number of arithmetic operations over the signal period. It can be relatively easy implemented based on the modern programmable logic devices. It also provides high interference immunity by identifying signal presence when signal-to-noise ratio is much less that its w...

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