WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000

21-25 Aug. 2000

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  • 2000 5th international conference signal processing proceedings

    Publication Year: 2000, Page(s):0_2 - 31
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    Freely Available from IEEE
  • Author index

    Publication Year: 2000, Page(s):1 - 9
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    Freely Available from IEEE
  • A multi-moment pattern recognition method based on neural networks

    Publication Year: 2000, Page(s):1675 - 1678 vol.3
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (216 KB)

    Proposes a fuzzy set theory to preprocess the feature of a Chinese character and uses the multi-moment method to classify the patterns in the neural network. Since it can be used in overlapping classes, this method has practical value View full abstract»

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  • Structured total least squares based on genetic algorithms

    Publication Year: 2000, Page(s):1671 - 1674 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (156 KB)

    Structured rank-deficient matrices arise in many applications in signal processing. The inverse iteration algorithm was proposed to solve the so-called structured total least squares (STLS) problems. This algorithm, however, converges to local-minimum under certain conditions. It is well known that genetic algorithms are stochastic optimization techniques that can often outperform classical method... View full abstract»

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  • A modified genetic algorithm-algorithm description

    Publication Year: 2000, Page(s):1667 - 1670 vol.3
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    Based on the analyses of the limitation of a common genetic algorithm and the model of the structure and development of human society, the paper discusses a modified genetic algorithm. The algorithm applies unidirectional inheritance and hierarchical structure to solve the optimizing problems. This method can not only reserve the useful genetic information, but also make the succeeding inheritance... View full abstract»

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  • Solving vertex covering problems using hybrid genetic algorithms

    Publication Year: 2000, Page(s):1663 - 1666 vol.3
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (332 KB)

    Presents a hybrid genetic algorithm for the vertex cover problems in which scan-repair and local improvement techniques are used for local optimization. With the hybrid approach, genetic algorithms are used to perform. Global exploration among a population, while neighborhood search methods are used to perform local exploitation around the chromosomes. The experimental results indicate that hybrid... View full abstract»

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  • Fault location in transmission line using self-organizing neural network

    Publication Year: 2000, Page(s):1585 - 1588 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (344 KB)

    The paper presents the application of self-organizing neural network for the location of the fault in transmission line and estimation of the parameter of the faulty element. The location of fault is done on the basis of the measurement of some node voltages of the line and appropriate preprocessing to enhance the differences between different faults. The hybrid neural network is used to solve the... View full abstract»

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  • Immune evolutionary algorithms

    Publication Year: 2000, Page(s):1655 - 1662 vol.3
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (692 KB)

    Three evolutionary algorithms, the immune genetic algorithm (IGA), the immune evolutionary programming (IEP) and the immune evolutionary strategy (IES), are presented based on the immune theory in biology, which are not only convergent but used for solving complex discrete optimization problems as well. They all construct an immune operator accomplished by two components, vaccination and immune se... View full abstract»

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  • Robust texture feature extraction using two dimension genetic algorithms

    Publication Year: 2000, Page(s):1580 - 1584 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (392 KB)

    This paper describes the robust texture feature, which is invariant to rotation and scale changes. The feature is the texture energy associated with a mask generated by two dimension genetic algorithms. The detail procedure and algorithm to generate the mask is discussed in the paper. Moreover, feature extraction experiments on aerial images are done. Experimental results show that the robust feat... View full abstract»

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  • A study on novel genetic algorithm with sustaining diversity

    Publication Year: 2000, Page(s):1650 - 1654 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (292 KB)

    Traditional crossover and mutation have difficulties in searching the optimum individual because of the random selection of gene positions. In the paper, the impact of the crossover position and mutation position upon the diversity in the population is analyzed. Then the concept of efficient crossover position length is introduced and some important conclusions are given. Finally, a new kind of di... View full abstract»

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  • The associative memory with optimal storage error-correcting performance

    Publication Year: 2000, Page(s):1576 - 1579 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (244 KB)

    The character of the associative memory is discussed emphatically from the viewpoint of the storage capacity and the associative ability of the network. The associative memory function can all be realized by utilizing the feedback network or the forward-feed network. The new algorithm, based on adaptive competing-classifying (ACC) algorithm, is presented here. Compared with other associative memor... View full abstract»

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  • Subspace tracking based blind multiuser detection: a MMSE estimation approach

    Publication Year: 2000, Page(s):1794 - 1797 vol.3
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    A blind multiuser detection scheme based on the signal subspace tracking technique is proposed. Different from some other blind detection schemes, we study the blind detection problem from the perspective of user's parameter estimation in the signal subspace. By using efficient subspace tracking algorithms, this scheme offers better performance and lower computational complexity. Simulation exampl... View full abstract»

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  • Reduced-complexity clustering techniques for nonlinear channel equalization

    Publication Year: 2000, Page(s):1492 - 1495 vol.3
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (320 KB)

    In this paper a novel reduced complexity 1-dimentional implementation of the clustering based sequence equalizer is given. The technique is appropriate for nonlinear channels and leads to robust performance. No explicit channel modeling is required. A detailed comparison, with respect to the performance and computational complexity, with an optimum symbol by the symbol Bayesian equalizer with deci... View full abstract»

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  • The improvements of BP neural network learning algorithm

    Publication Year: 2000, Page(s):1647 - 1649 vol.3
    Cited by:  Papers (32)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (176 KB)

    The back-propagation algorithm (BP) is a well-known method of training a multilayer feedforward artificial neural networks (FFANNS). Although the algorithm is successful, it has some disadvantages. Because of adopting the gradient method by the BP neural network, the problems including a slow learning convergent velocity and easily converging to local minimum can not be avoided. In addition, the s... View full abstract»

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  • Coevolutionary approach to speaker identification using neural networks

    Publication Year: 2000, Page(s):1572 - 1575 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB)

    This paper introduces a coevolutionary neural network approach for design of speaker identification system. In the proposed training algorithm, neural networks for speaker modeling and feature subsets used for identification will be automatically designed by one evolution process in which a new hybrid evolutionary algorithm is employed. The experimental results show that new method achieves approx... View full abstract»

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  • Multiwavelet orthogonal CDMA

    Publication Year: 2000, Page(s):1790 - 1793 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (264 KB)

    According to the theory of multiwavelets, a signal can be decomposed into a combination of its projects on wavelet spaces, and the coefficients can be obtained from signal samples by using prefiltering and multifiltering. Since multiwavelets and their translations, whose time-frequency features can be specially designed, overlap in time domain, if they are used as chips in CDMA systems then linear... View full abstract»

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  • An optimum data fusion algorithm for distributed detection system

    Publication Year: 2000, Page(s):1487 - 1491 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (312 KB)

    Chair and Varshney (1986) derived an optimal rule for fusing decisions based on the Bayesian criterion. To implement the rule, the probability of detection and the probability of false alarm for each sensor must be known, but this information is not always available in practice. This paper discusses the data fusion algorithms for distributed detection systems when the priory probability is not kno... View full abstract»

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  • Extrapolation for compressed coefficient's band-pass delay time characteristics by using genetic-algorithm on the DCT

    Publication Year: 2000, Page(s):1643 - 1646 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (192 KB)

    We use the Fourier series algorithm to design a filter, but we do not use the window functions. Instead of this, we use the genetic algorithm (GA) on the discrete cosine transform (DCT) of a given band-pass characteristics. For the attenuation characteristics, we have already mentioned this procedure, so we only mention the delay time characteristics. This paper's method is useful for an ASIC equa... View full abstract»

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  • Neural networks for classification of 2-D patterns

    Publication Year: 2000, Page(s):1568 - 1571 vol.3
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (316 KB)

    The paper presents the application of three different types of neural networks to the 2D pattern recognition on the basis of its shape. They include the multilayer perceptron (MLP), Kohonen self-organizing network and hybrid structure composed of the self-organizing layer and the MLP subnetwork connected in cascade. The recognition is based on the features extracted from the Fourier transform of t... View full abstract»

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  • Robust loading in the presence of channel profile selection

    Publication Year: 2000, Page(s):1786 - 1789 vol.3
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (328 KB)

    Channel profile detection in multicarrier systems was investigated previously (see IEEE Global Telecommunications Conference, GLOBECOM'99, vol.2, p.1133-8, 1999). This paper investigates new algorithms for channel profile detection and determines a new low complexity algorithm. In the case that profile detection leads to channel selection errors, robust bit loading methods are introduced that will... View full abstract»

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  • New results in fuzzy pattern classification of background noise

    Publication Year: 2000, Page(s):1483 - 1486 vol.3
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (336 KB)

    This paper proposes a background noise classifier based on a new, computationally simple, robust set of acoustic features. Complementary to our previous work (1998), reporting on the first studies carried out by the authors on background noise classification, this paper mainly presents: 1) a criterion to group a large range of environmental noise into a reduced set of classes of noise with similar... View full abstract»

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  • Gabor-Atom networks based radar target identification

    Publication Year: 2000, Page(s):1980 - 1983 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (288 KB)

    A Gabor-Atom network (GAN) approach for application in radar target recognition is proposed. The Gabor atoms selected by a multilayer feedforward neural network extract discriminant features among different classes of radar target returns. The self-learning mechanism is used not only for the network but for the feature parameters. Results on the classification of microwave anechoic chamber data of... View full abstract»

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  • On the application of artificial neural networks to fault diagnosis in analog circuits with tolerances

    Publication Year: 2000, Page(s):1639 - 1642 vol.3
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (240 KB)

    This paper proposes a method for analog fault diagnosis by adopting neural networks. The primary focus of the paper is to provide robust diagnosis using a mechanism to deal with the problem of component tolerances and to reduce the testing time. The proposed approach is based on the k-fault diagnosis method and artificial backward propagation neural network, which is shown to be capable of robust ... View full abstract»

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  • The application of DSP in data acquisition and analysis of vibration signal

    Publication Year: 2000, Page(s):2050 - 2053 vol.3
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB)

    The system design of the DSP in the PTMSTD-III data collector and analyzer is discussed. In the hardware design, we discuss the connecting of the A/D, memory expansion, and bus control. In the software design, we discuss the soft realization of vibration analyses for trouble shooting rotary structures View full abstract»

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  • Parameter optimization in FCM clustering algorithms

    Publication Year: 2000, Page(s):1457 - 1461 vol.3
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (272 KB)

    Weighting exponent m is an important parameter in fuzzy c-means (FCM) clustering algorithm, which directly affects the performance of the algorithm and the validity of fuzzy cluster analysis. However, so far the optimal choice of m is still an open problem. A method of selecting the optimal m is proposed in this paper, which is based on the fuzzy decision theory. The experimental results obtained ... View full abstract»

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