Adaptive composite nonlinear filters for reliable illumination-invariant pattern recognition are proposed. The information about objects to be recognized, false objects, and a background to be rejected is utilized in ...
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A space-variant restoration technique with sliding sinusoidal transforms is presented. Minimum mean-square error estimators in the domains of sliding discrete sine and cosine transforms for image restoration are deriv...
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The stochastic generalized Ginzburg-Landau equation with additive noise can be solved pathwise and the unique solution generates a random system. Then we prove the random system possesses a global random attractor in ...
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The stochastic generalized Ginzburg-Landau equation with additive noise can be solved pathwise and the unique solution generates a random system. Then we prove the random system possesses a global random attractor in H 0 1 .
Meta-heuristics are general frameworks of heuristics methods for solving combinatorial optimization problems, where exploring the exact solutions for these problems becomes very hard due to some limitations like extre...
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ISBN:
(纸本)9781605580463
Meta-heuristics are general frameworks of heuristics methods for solving combinatorial optimization problems, where exploring the exact solutions for these problems becomes very hard due to some limitations like extremely large running time. In this paper, new local searches over tree space are defined. Using these local searches, various meta-heuristics can be generalized to deal with tree data structures to introduce a more general framework of meta-heuristics called Meta-Heuristics programming (MHP) as general machine learning tools. As an alternative to Genetic programming (GP) algorithm, Memetic programming (MP) algorithm is proposed as a new outcome of the MHP framework. The efficiency of the proposed MP Algorithm is examined through comparative numerical experiments. Copyright 2008 ACM.
Teaching engineering and technology subjects involves conveying understanding of abstract information structures and processes such as complex telecommunications protocols, complex mathematical concepts, and data stru...
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Teaching engineering and technology subjects involves conveying understanding of abstract information structures and processes such as complex telecommunications protocols, complex mathematical concepts, and data structures. These are multidimensional and can be difficult to grasp quickly. Supported by a Hewlett-Packard (HP) Technology for Teaching grant, the School of Engineering and Technology at National University has embarked on a project to enable students to grasp these complex concepts more quickly and easily, using continuous dialog among students and instructors as the structures are first introduced and then examined from multiple perspectives through real-time interaction among students, small groups, and instructors. HP Wireless Tablet PCs are used to discuss and experiment with diagrams and processes in realtime. This allows combining lectures and problem-solving sessions into a single class session. Our hypothesis is that: 1) an in-depth learning of theory is accomplished, and 2) student engagement is enhanced. Presentation of theory by the instructor is integrated with application while the theory is still in the student's short-term memory. Students no longer have to wait for a separate session such as a recitation session to apply the concepts. This approach often takes less time. In addition to accelerating the learning process, expert instructors find this approach more rewarding as students grasp new concepts more quickly. Analysis of data captured from both students and instructors are presented to support our hypotheses, and our results are compared with similar research carried out by other universities. In addition, the level of interaction enabled by the use of HP Tablets in on-line classes is discussed. The best teaching tools available in existing on-line teaching platforms are compared with the additional tools available in on-site courses when every student has a wireless Tablet PC and specific recommendations are made to on-line teachi
The bit error probability for quadrature amplitude modulation (QAM) with L -fold space diversity in Rayleigh fading channels using earlier Log-likelihood ratio (LLR) approach is presented in this article. Two combinin...
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The bit error probability for quadrature amplitude modulation (QAM) with L -fold space diversity in Rayleigh fading channels using earlier Log-likelihood ratio (LLR) approach is presented in this article. Two combining techniques, Maximal Ratio Combiner (MRC) and Selection Combining (SC) are considered for the analysis. LLR is used for the individual bits forming a QAM symbol to derive expression for the probability of error for various bits in the QAM symbol on flat fading channels with MRC and SC space diversity. The average bit error rate (BER) is determined from this expression. The analytical results show that the probability of bit error decreases with the order of diversity for both cases of MRC and SC. The derived formula can be used to achieve the desired BER at specific order of diversity in wireless mobile communication systems employing QAM modulation.
The ISI (inter symbol interference) and ICI (inter carrier interference) effects can be reduced using cyclically prefixing guard bands with the orthogonal frequency division multiplexing (OFDM) symbols. Recently, the ...
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The ISI (inter symbol interference) and ICI (inter carrier interference) effects can be reduced using cyclically prefixing guard bands with the orthogonal frequency division multiplexing (OFDM) symbols. Recently, the authors reduced them by cyclically shuffling the sub-carrier frequency and using CI (carrier interferometry) code to each sub-carrier. In this paper, the authors attempt to analyze the propagation of the sub-carrier frequency shuffled (FS) CIOFDM symbols through a time invariant multi-path fading channels. A small guard band of length, much less than the RMS delay spread of the channel, is used between the consecutive FS-CIOFDM symbols for operation of electronic devices in its linear region.
We demonstrate that the logic computation performed by the DNA-based algorithm for solving general cases of the satisfiability problem can be implemented by our proposed quantum algorithm on the quantum machine propos...
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We demonstrate that the logic computation performed by the DNA-based algorithm for solving general cases of the satisfiability problem can be implemented by our proposed quantum algorithm on the quantum machine proposed by Deutsch. Moreover, we also prove that the logic computation by the bio-molecular operations proposed by Adleman can be implemented by quantum gates (for example, the Hadamard gate, NOT, CNOT, and CCNOT) on the quantum machine. Furthermore, those NP-complete problems solved on a bio-molecular computer are also solvable on a quantum computer. To test our theory, we carry out a three-qubit NMR experiment for solving the simplest satisfiability problem.
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