This paper introduces a new signature coding which is designed based on the well-known Block Truncation Coding (BTC). It comprises of bit-maps of the signature blocks generated by different threshold criteria. Two new...
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(纸本)9780819473066
This paper introduces a new signature coding which is designed based on the well-known Block Truncation Coding (BTC). It comprises of bit-maps of the signature blocks generated by different threshold criteria. Two new BTC-based algorithms are developed for signature coding, to be called Block Truncation Signature Coding (BTSC) and 2-level BTSC (2BTSC). In order to compare the developed BTC based algorithms with current binary signature coding schemes such as Spectral Program Analysis Manager (SPAM) developed by Mazer et al. and Spectral Feature-based Binary Coding (SFBC) by Qian et al, three different thresholding functions, local block mean, local block gradient, local block correlation are derived to improve the BTSC performance where the combined bit-maps generated by these thresholds can provide better spectral signature characterization. Experimental results reveal that the new BTC-based signature coding performs more effectively in characterizing spectral variations than currently available binary signature coding methods.
This paper presents feature extraction and estimations of multifractal measures for deoxyribonucleic acid (DNA) sequences, and demonstrates the intriguing possibility of identifying biological functionality using info...
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This paper presents feature extraction and estimations of multifractal measures for deoxyribonucleic acid (DNA) sequences, and demonstrates the intriguing possibility of identifying biological functionality using information contained within the DNA sequence. We have developed a technique that seeks patterns or correlations in the DNA sequence at a higher level. The technique has three main steps: (i) transforms the DNA sequence symbols into a modified Levy walk, (ii) transforms the Levy walk into a signal spectrum, and (iii) breaks the spectrum into subspectra and treats each of these as an attractor from which the multifractal dimension spectrum is estimated. An optimal minimum window size and volume element size are found for estimation of the multifractal measures. Experimental results show that DNA is a multifractal, and that the multifractality changes depending upon the location (coding or noncoding region) in the sequence.
Delay, guaranteeing causality, is inevitable in cooperative communication systems. Traditionally, delay granularity has been limited to one symbol;however, channel delay is in fact governed by channel memory and can b...
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In InISAR system, the pixels between two ISAR images derived from corresponding antennas usually do not register properly without prior compensation. A three-dimension motion compensation method, or 3D focusing, is pu...
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Nowadays, with the availability of massive amount of trade data collected, the dynamics of the financial markets pose both a challenge and an opportunity for high frequency traders. In order to take advantage of the r...
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This paper presents a study of wavelet analysis of transients in power systems. Short-term and nonstationary nature of transients necessitates the use of advanced signal processing techniques in order to detect, chara...
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This paper presents a study of wavelet analysis of transients in power systems. Short-term and non-stationary nature of transients necessitates the use of advanced signal processing techniques in order to detect, char...
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This paper presents a study of wavelet analysis of transients in power systems. Short-term and non-stationary nature of transients necessitates the use of advanced signal processing techniques in order to detect, characterize and classify them. The paper examines the fundamental properties of a number of mother wavelets, and provides guidelines for the selection of suitable wavelets for the purpose of characterization and extraction of features of transients in power systems. As an indispensable part of such a study, the paper also presents the results of wavelet analysis of typical types of transients obtained using simulation
This paper describes a multifractal analysis of physical lightning strike maps obtained for Manitoba through the Canadian Lightning Detection Network. Cloud-to-ground discharges or lightning strikes are physical pheno...
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This paper describes a multifractal analysis of physical lightning strike maps obtained for Manitoba through the Canadian Lightning Detection Network. Cloud-to-ground discharges or lightning strikes are physical phenomena which may have adverse effects on power transmission and delivery. Predicting the geographical and temporal distribution of lightning strike maps through modelling can help power system designers to improve the protection of existing and new power systems and transmission lines. In order to compare the model to physical data, their characterization is required. Since lightning strike maps are highly nonlinear, nonstationary and stochastic, ordinary analyses and measures are insufficient to characterize these phenomena. Since self affinity of the lightning strike maps is the indication of multifractality, complexity measures such as the Renyi fractal dimension spectrum (RS) and Mandelbrot singularity spectrum (MS) are appropriate for such fractal analysis. In this paper, we investigate the multifractality of lightning strike maps in Manitoba through the RS and MS. Both methods generate similar results and show that the maps are multifractal. Comparing the range of results with a similar phenomenon, diffusion limited aggregates (DLA), supports the accuracy of calculations as well.
This paper presents an in-depth study of classification of transients in power systems using two pattern classification methods, namely the maximum-likelihood, and the probabilistic neural networks. These methods, whi...
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This paper presents an in-depth study of classification of transients in power systems using two pattern classification methods, namely the maximum-likelihood, and the probabilistic neural networks. These methods, which stem from the Bayes rule, aim at estimating the underlying probability density functions that are required by the Bayes rule, but are often unavailable readily. The paper presents the mathematical foundations of classification using these two methods, followed by their implementation for classification of three types of transients, namely three-phase faults, breaker operations and capacitor switchings. Features used in this study are obtained using the wavelet and multifractal analyses of transient waveforms
A novel paradigm for fractal coding selectively corrects the fractal code for selected domain blocks with an image-adaptive VQ codebook. The codebook is generated from the initial uncorrected fractal code and is there...
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A novel paradigm for fractal coding selectively corrects the fractal code for selected domain blocks with an image-adaptive VQ codebook. The codebook is generated from the initial uncorrected fractal code and is therefore available at the decoder. An efficient trade-off results between incremental performance and bit rate.
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