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adaptive median based multi-shell-order-statistics filters for the removal of impulsive noise

Adaptive median based multi-shell-order-statistics filters f...

引用

International Symposium on Speech, Image Processing and Neural Networks

作者： J.S.J. Li A. Ramsingh Department of Electrical and Electronic Engineering University of Canterbury Christchurch New Zealand

The multistage and multi-shell median filters have been shown to be effective in preserving fine image structures as well as in the suppression of noise. It has been shown that the multi-shell median filter can be modified to describe a set of median based multi-shell order-statistics filters, each with a different noise removal characteristic. In the paper, an adaptive median based multi-shell order-statistics filter is presented. The adaptive algorithm varies the statistical properties of the filter by updating the rank of the complementary order-statistics operators of each shell according to the input noise density. Its performance is compared to the standard 2D median and multistage median filters with favourable results.< >

关键词： adaptive filters Electric breakdown Filtering adaptive algorithm Structural shells Noise measurement Probability distribution

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Inverse Tangent Based adaptive IIR Notch Filter

Inverse Tangent Based Adaptive IIR Notch Filter

引用

IEEE Asia-Pacific Conference on Circuits and Systems

作者： R. Punchalard J. Koseeyaporn P. Wardkein Telecommunication engineering department Mahanakom University of Technology Bangkok Thailand Telecommunication engineering department King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand

The inverse tangent based second-order adaptive IIR notch filter (ITANF) is presented in this paper. It is well known that the gradient-based adaptive IIR notch filter (ANF) has inherent low convergence speed due to the flattened error function. Moreover, the magnitude of error function depends on magnitude of sinusoid which implies that the speed of convergence of the gradient-based adaptive algorithm also depends on the magnitude of an input signal. To improve such drawback, the new inverse tangent based adaptive algorithm for a second order IIR notch filter is therefore proposed. The proposed algorithm employs the ratio of output to input signals as an error criterion where the inverse tangent value of the ratio is employed to adapt the filter parameter. It is found that the proposed algorithm provides not only high speed convergence but also high impulse noise robustness. The simulation results confirm that the performance of the proposed algorithm has been improved over the conventional ANF

关键词： adaptive filters IIR filters Signal processing algorithms Finite impulse response filter adaptive algorithm Convergence Electronic mail Noise robustness Computational complexity Radar signal processing

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Two-dimensional block adaptive filtering algorithms

Two-dimensional block adaptive filtering algorithms

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： W.B. Mikhael S.M. Ghosh Department of Electrical Engineering University of Central Florida Orlando FL USA

A technique for 2-D system identification which processes 2-D signals using 2-D blocks is proposed. Two algorithms which perform 2-D FIR (finite impulse response) adaptive filtering using 2-D error blocks or windows are presented. The first algorithm uses a convergence factor that is constant for each 2-D coefficient at each window iteration. This algorithm is termed the two-dimensional block least mean square algorithm (TDBLMS). A novel 2-D adaptive fast LMS algorithm which processes 2-D signals is presented. In this algorithm, a convergence factor is obtained that is the same for all 2-D coefficients at a particular window iteration, but is updated at each window iteration. This algorithm is called the two-dimensional optimum block algorithm (TDOBA). The convergence properties of the TDBLMS and TDOBA are investigated and compared using computer simulations for both disjoint and overlapping windows. It is shown that the TDOBA clearly outperforms the TDBLMS algorithm with respect to convergence speed and accuracy of adaptation.< >

关键词： adaptive filters Filtering algorithms Convergence System identification adaptive algorithm Transfer functions Two dimensional displays Finite impulse response filter Least mean square algorithms Signal processing

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adaptive Synchronization on Complex Dynamical Networks

Adaptive Synchronization on Complex Dynamical Networks

引用

International Conference on Biomedical Engineering and Informatics

作者： Yong-Chun Liu Da Lin School of Automatic and Electronic Information Sichuan University of Science and Engineering Zigong China

ISBN: (纸本)9781467311830

Today, complex networks have attracted increasing attention from various fields of science and engineering. It has been demonstrated that many complex networks display various synchronization phenomena. This letter studies adaptive synchronization in regularly coupled complex dynamical networks. An adaptive coupling strength algorithm is proposed to effectively stabilize and synchronize complex networks. The strictness proof of this algorithm from the viewpoint of mathematics is given. Especially, we show that synchronization of such complex dynamical networks is completely determined by the coupling strength. An examples is simulated, using the chaotic Lorenz system, as the nodes of the complex dynamical networks, which demonstrate the effectiveness of the proposed adaptive algorithm.

关键词： chaos adaptive algorithm complex dynamical networks synchronization

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Self Organized Networks for Optimal Feature Extraction

Self Organized Networks for Optimal Feature Extraction

引用

IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA)

作者： Youness Aliyari Ghassabeh Hamid Abrishami Moghaddam Electrical Engineering Department K.N. Toosi University of Technology Tehran Iran

In this paper, we introduced new adaptive learning algorithms and related networks to extract optimal features from multidimensional data in order to reduce the data dimensionality while preserving class separability. For this purpose, new adaptive algorithms for the computation of the square root of the inverse covariance matrix Sigma -1/2 are introduced. We introduce a new cost function related to the given adaptive learning algorithms in order to prove their convergence. Self organized Sigma -1/2 networks are constructed based on these algorithms. By cascading Sigma -1/2 network and an adaptive principal component analysis (APCA) network, we present new adaptive self organized LDA feature extraction network. adaptive nature of the new optimal feature extraction method makes it appropriate for on-line incremental pattern classification and machine learning applications. Both networks in the proposed structure are trained simultaneously, using a stream of input data. Existence of cost function, make it available to compute learning rate efficiently in every iteration in order to increase the convergence rate. Experimental results using synthetic multi-class multi-dimensional sequence of data, demonstrated the effectiveness of the new adaptive self organized feature extraction networks.

关键词： Feature extraction Cost function Convergence adaptive systems Data mining Multidimensional systems adaptive algorithm Covariance matrix Machine learning algorithms Principal component analysis

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Bias analysis in continuous adaptation systems for hearing aids

Bias analysis in continuous adaptation systems for hearing a...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： M.G. Siqueira A. Alwan Electrical Engineering Department University of California Los Angeles Los Angeles CA USA

This paper studies analytically the steady-state convergence behavior of adaptive algorithms that approximate the Wiener solution when operating in continuous adaptation to reduce acoustic feedback in hearing aids. A bias is found in the adaptive filter's estimate of the hearing-aid feedback path when the input signal is not white. Delays in the forward and cancellation paths are shown to reduce the magnitude of the bias. Equations for the bias transfer function are obtained. A discussion about properties of the bias when delays are placed in the forward and cancellation paths follows.

关键词： Hearing aids Feedback Transfer functions Auditory system Delay estimation Wiener filter algorithm design and analysis Steady-state Convergence adaptive algorithm

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adaptive Neural Network Control of a Helicopter in Vertical Flight

Adaptive Neural Network Control of a Helicopter in Vertical ...

引用

IEEE Regional Conference on Aerospace Control Systems

作者： T.J. Pallett S. Ahmad Real-Time Robot Control Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA

In this paper we address the application of adaptive neural networks in the flight control of a miniature helicopter during hover. Neural networks have received a great deal of attention lately, especially in the areas of pattern recognition and control of unknown systems. In this paper we will discuss how to setup and update a two-layer neural network. We will also present an on-line control system which can be implemented using neural networks. Finally, we will show how neural networks can be used to improve the controlled response of a miniature helicopter in vertical flight by learning and adapting to changes in the plant on-line. Experimental helicopter flight control results are also given in this paper.

关键词： adaptive systems Programmable control adaptive control Neural networks Helicopters Intelligent networks Aerospace control adaptive algorithm Control systems Robot control

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Space-time coded CDMA: blind equalization and multiuser detection

Space-time coded CDMA: blind equalization and multiuser dete...

引用

Asilomar Conference on Signals, Systems & Computers

作者： X. Yue W. Zhu H. Fan Department of Mathematics and Computer Science Central Missouri State University Warrensburg MO USA Department of ECECS University of Cincinnati Cincinnati OH USA

The blind multiuser detection problem for asynchronous direct sequence code division multiple access (DS-CDMA) systems operating in a multipath environment using multiple transmit and receive antennas is considered. The Alamouti space-time block code (STBC) for two-transmit-antenna configuration is adopted. Using only the spreading code of the desired user, a blind minimum mean square error (MMSE) detector is obtained without explicit channel estimation. Corresponding batch and adaptive algorithms are developed. Simulations verify the effectiveness of the proposed method.

关键词： Multiaccess communication Blind equalizers Multiuser detection Direct-sequence code-division multiple access Receiving antennas Block codes Mean square error methods Detectors Channel estimation adaptive algorithm

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Lower Bounds for the MSE Convergence of APA

Lower Bounds for the MSE Convergence of APA

引用

Proceedings of 2006 IEEE International Symposium on Circuits and Systems,Volume 7

作者： Ifiok J. Umoh Tokunbo Ogunfunmi Department of Electrical Engineering Santa Clara University Santa Clara USA

It is well known that the Least Mean Square (LMS) algorithm convergence speed degrades considerably when the input signal is correlated. On the other hand, the Affine Projection algorithm (APA) was recently developed and has faster convergence for correlated inputs compared to LMS. Convergence Analysis done on APA to date has been based on either a modification of the independence assumption, a special regression model, or a Gaussian regression data model, In this paper, an analysis of the standard APA algorithm under the assumption of a finite strong memory and finite moments for the regression data is done. We prove that under steady state conditions, the weight error covariance is lower bounded and dependent on the step size and not the correlation of the input regression matrix.

关键词： Convergence Least squares approximation Steady-state algorithm design and analysis Projection algorithms Equations Covariance matrix adaptive algorithm Mean square error methods Transient analysis

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Australian currency note identifier for the vision impaired: Part II software description

Australian currency note identifier for the vision impaired:...

引用

Australian and New Zealand Conference on Intelligent Information Systems

作者： I. Siewert I. Murray T. Dias School of Electrical and Computer Engineering Curtin University of Technology Bentley WA Australia

For pt.I see ibid., p.135-40 (2001). The article describes the software component of a prototype currency identifier. Identification is performed by imaging and recognising the contents of the clear window found near the lower corner of each note (I. Siewart, 1998), which is unique for each denomination. This development is of significance in Australia to people who suffer a large degree of vision impairment, and possibly also to the vision impaired population of the European Union, which may also plan to adopt polymer note technology.

关键词： Australia Image recognition Optical imaging Skeleton Noise reduction Software prototyping Optical character recognition software Pixel adaptive algorithm Design engineering

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