Recognition of the interesting targets is the key techniques of precise guided weapon systems. Because fractal dimension is an interesting textual feature of an image, it has been used in many pattern recognition appl...
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ISBN:
(纸本)0819460079
Recognition of the interesting targets is the key techniques of precise guided weapon systems. Because fractal dimension is an interesting textual feature of an image, it has been used in many pattern recognition applications including classification and segmentation. According to the fractal feature of man-made objects in infrared images, a new algorithm is presented to detect the airplanes in this paper. And then we can partition and identify the potential targets using this fractal algorithm. Simulations illustrate that the airplane is successfully identified with the algorithm. The algorithm only requires moderate operations, so it is easy to be implemented for automatic target detection in real-time systems. The results of the experiments show that the fractal dimension can efficiently reflect the object surface complexity or irregularity in images. The algorithm is a powerful tool in identifying airplanes from infrared images.
Color correlogram for content-based image retrieval (CBIR) characterizes not only the color distribution of pixels, but also the spatial correlation of pairs of colors. Color not only reflects the material of surface,...
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Speech quality suffers from limited bandwidth of cellular telephone systems, making it sound muffled. In addition, intelligibility is degraded due to missing higher frequency components. The proposed enhancement syste...
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Time-varying fractional delays are applied for example in physics-based modeling of musical instruments, particularly for string and wind instruments. While Lagrange interpolation and allpass filters are used routinel...
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An algorithm for robust transmission of compressed 3-D mesh data is proposed in this work. In the encoder, we partition a 3-D mesh adaptively according to the surface complexity, and then encode each partition separat...
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ISBN:
(纸本)0819460397
An algorithm for robust transmission of compressed 3-D mesh data is proposed in this work. In the encoder, we partition a 3-D mesh adaptively according to the surface complexity, and then encode each partition separately to reduce the error propagation effect. To encode joint boundaries compactly, we propose a boundary edge collapse rule, which also enables the decoder to zip partitions seamlessly. In the decoder, an error concealment scheme is employed to improve the visual quality of corrupted partitions. The concealment algorithm utilizes the information in neighboring partitions and reconstructs the lost surface based on the semi-regular connectivity reconstruction and the polynomial interpolation. Simulation results demonstrate that the proposed algorithm provides a good rendering quality even in severe error conditions.
This paper presents an improvement of the discrete wavelet transform (DWT)-based phonetic classification algorithm by using neural networks (NN) to learn optimal thresholds for speech classification. Two feedforward N...
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This paper presents an improvement of the discrete wavelet transform (DWT)-based phonetic classification algorithm by using neural networks (NN) to learn optimal thresholds for speech classification. Two feedforward NNs (two layers) operate on input features extracted from speech frames (10 ms length) by DWT and statistical measurement in order to classify these frames as transient, voiced vowel, voiced consonant and unvoiced consonant categories. Hard thresholds in our earlier paper are used to detect silence and voiced closure intervals. The new algorithm is tested with the TIMIT database and compared with other algorithms to demonstrate its superior performance.
In this paper, three novel defuzzification methods are presented which are appropriate for low-cost hardware implementations. An elab.rate set of ten different defuzzification methods including our three newly-propose...
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In this paper, three novel defuzzification methods are presented which are appropriate for low-cost hardware implementations. An elab.rate set of ten different defuzzification methods including our three newly-proposed ones are introduced. The C models for all of these methods are prepared for the accuracy-analysis simulations. The HDL models are also developed and synthesized to analyze the implementation cost of each method. This makes it possible to compare the accuracy of these different methods while considering their VLSI implementation costs. The accuracy analysis simulations are performed on six different sets of output fuzzy membership functions with various features to achieve more general and reliable results. A two-dimensional diagram of cost-accuracy analysis is introduced which helps the designers to choose the defuzzification method which best suits their application
Generalized computing is a new kind of intelligent computing systems, which combines symbolic intelligence and computational intelligence (including neural computing, fuzzy computing and evolutional computing) togethe...
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Generalized computing is a new kind of intelligent computing systems, which combines symbolic intelligence and computational intelligence (including neural computing, fuzzy computing and evolutional computing) together. By introducing generalized computing into knowledge management, this paper presents a kind of knowledge decision-making model, and a kind of control model of enterprise knowledge flow.
It is currently stated and widely accepted by industry and users that the RAIM is designed to provide timely warnings in the situation where only one of the range measurements used at the current epoch is affected by ...
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It is currently stated and widely accepted by industry and users that the RAIM is designed to provide timely warnings in the situation where only one of the range measurements used at the current epoch is affected by an unacceptable bias. However, given the range of potential applications of RAIM in the future, in particular with the advent of Galileo and the generalization of Safety of Life applications, which should spread from the civil aviation community to many other professional sectors, it is very important to better understand the fundamental properties of RAIM, and in particular the potential of RAIM to detect multiple failures on range measurements. The purpose of the study presented in this paper is to analyze the performance of a RAIM in the presence of multiple simultaneous range errors. In particular, we conduct a theoretical analysis to determine in which cases the Least Squares Residuals RAIM detection criterion is not affected, and analyzed results of Monte-Carlo simulations in presence of up to four range failures. The theoretical analysis outlined above aims at determining in what conditions the Least Squares Residuals RAIM detection criterion remains unaffected by multiple range failures, searching for what we call criterion unaffecting range errors. We show that, provided the satellite constellation does not have any degenerated geometrical properties, the dimension of the vector sub-space of these criterion unaffecting errors is max(4-(N-p),0), where N is the number of tracked satellites and p is the number of faulty pseudorange measurements. The immediate conclusion is that if N-4 pseudo range measurements are affected, or less than that, by a large error, there exists no error that will not affect the RAIM detection criterion, and globally due to the negligible probability that unintentional interference lies in a small dimension sub-space, the RAIM detection criterion exhibits a natural detection capability even if up to N-2 pseudo-range mea
The development of more processing demanding applications on the Internet (video broadcasting) on one hand and the popularity of recent devices at the user level (digital cameras, wireless videophones, ...) on the oth...
The development of more processing demanding applications on the Internet (video broadcasting) on one hand and the popularity of recent devices at the user level (digital cameras, wireless videophones, ...) on the other hand introduce challenges at several levels. Today, such devices present processing capabilities and bandwidth settings that are inefficient to manage scalab.e QoS requirements in a typical media delivery framework. In this paper, we present an impact study of such a scalab.e data representation optimized for QoS (Matching Pursuit 3D algorithms) on processor architectures to achieve the best performance and power efficiency. A review of state of the art techniques for processor architecture enhancement let us expect promising opportunities from the latest developments in the reconfigurable computing research field. We present here the first design steps of an efficient reconfigurable coprocessor especially designed to cope with future video delivery and multimedia processing requirements. Architecture perspectives are proposed with respect to low development cost constraints, backward compatibilty and easy coprocessor usage using an original strategy based on a hardware/software codesign methodology.
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