A novel double-image encryption algorithm is proposed, which can simultaneously encrypt two images into a single one as the amplitude of gyrator transform with two different groups of angles. The two original images c...
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A novel double-image encryption algorithm is proposed, which can simultaneously encrypt two images into a single one as the amplitude of gyrator transform with two different groups of angles. The two original images can be retrieved independently by gyrator transforms with two different groups of angles, one common phase mask, and two different private phase masks. The proposed approach can enlarge the key space, achieve faster convergence in iterative process, and avoid cross-talk between two images in reconstruction. Numerical simulations are presented to verify its validity and efficiency. (C) 2008 Elsevier B.V. All rights reserved.
In order to obtain faster and more accuracy transient tracking performances in iterative domain, a high-order proportional integral difference type parameter optimal iterative learning control algorithm based on norm ...
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In order to obtain faster and more accuracy transient tracking performances in iterative domain, a high-order proportional integral difference type parameter optimal iterative learning control algorithm based on norm performance index is proposed. In the algorithm, the proportional integral difference type operator is introduced to expend the dimension of the algorithm and to increase the free-degree of the optimal parameter. Theoretic proof shows that the convergence of the algorithm is monotonic no matter the plant is positive or not, and the tracking error will converge monotonically to zero when the plant is positive. Finally, simulations show that the tracking error of the proposed algorithm converges monotonically and faster than other similar algorithms.
Efficiently reducing complexity and capturing energy are two critical issues for implementing equalizers in a high-rate ultra-wideband communication link with severe intersymbol interference. In this letter, we propos...
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Efficiently reducing complexity and capturing energy are two critical issues for implementing equalizers in a high-rate ultra-wideband communication link with severe intersymbol interference. In this letter, we propose a low-complexity equalization algorithm using iterative interference cancellation. Its complexity is comparable with the Rake receiver, but its performance can approach that of the matched filter bound. The proposed algorithm can accommodate various signaling schemes, including pulse amplitude/position modulation and M-ary bi-orthogonal keying.
A new class of nonlinear set-valued variational inclusions involving (A, eta)-monotone mappings in a Hilbert space setting is introduced, and then based on the generalized resolvent operator technique associated with ...
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A new class of nonlinear set-valued variational inclusions involving (A, eta)-monotone mappings in a Hilbert space setting is introduced, and then based on the generalized resolvent operator technique associated with (A, eta)-monotonicity, the existence and approximation solvability of solutions using an iterative algorithm is investigated. (c) 2007 Elsevier Inc. All rights reserved.
A novel information security system based on multiple-phase retrieval by an iterative gyrator transform algorithm is proposed. In this method, a series of phase masks are designed and located in the input plane and th...
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A novel information security system based on multiple-phase retrieval by an iterative gyrator transform algorithm is proposed. In this method, a series of phase masks are designed and located in the input plane and the gyrator planes, and the phase distributions of all the masks are adjusted simultaneously in each iteration. It can achieve fast convergence and high quality of the recovered image and can provide a higher degree of freedom in key space with more parameters as supplementary keys. Furthermore, the security level of this method is greatly improved by the sensitivity of recovered images with the angles of gyrator transform. Numerical simulations are presented to verify its validity and efficiency. (C) 2008 Elsevier Ltd. All rights reserved.
Finding zero points for maximal monotone operator is a very active topic in different branches of mathematical and engineering sciences since many physically significant problems can be ultimately converted to it. Con...
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ISBN:
(纸本)0780390911
Finding zero points for maximal monotone operator is a very active topic in different branches of mathematical and engineering sciences since many physically significant problems can be ultimately converted to it. Consequently, considerable research efforts have been devoted, especially within the past 20 years or so, to the study of iterative algorithms of zero points for maximal monotone operators. By now, there already exist some algorithms, such as proximal point algorithm, hybrid algorithm and regularity algorithm, etc. But all those methods are not quite enough to deal with problems defined in a more general space. In this paper, a new iterative algorithm with errors is introduced which is proved to be weakly convergent to zero point of maximal monotone operator by using some techniques of Lyapunov functional and generalized projection operator, etc. Moreover, some applications of the new algorithm are demonstrated. One of it is to solve a kind of variational inequalities which play a significant role in economics, finance, transportation, elasticity, optimization and structural analysis, etc. The other is to find a minimizer of a given convex function, which is also a very important topic in applied mathematics.
In-line holography is a simple approach for high resolution imaging. It has been extensively investigated due to it can effectively utilize the space-bandwidth of the digital recording instrument, such as CCD or CMOS....
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ISBN:
(纸本)0819458562
In-line holography is a simple approach for high resolution imaging. It has been extensively investigated due to it can effectively utilize the space-bandwidth of the digital recording instrument, such as CCD or CMOS. However, since the fact that the reference wave and the object wave are overlapped during the hologram was recorded, the reconstructed image is blurred by the ghost image. This shortcoming limits the applications of the in-line holography. Therefore, an effective reconstruction algorithm is important for generalizing the application of the in-line holography. In this presentation, some approaches based on the iterative phase retrieval algorithms are reported for in-line holograms reconstruction. Firstly, the YG algorithm and the GS algorithm are used to reconstruct pure absorption object from their in-line holograms, respectively. The differences between these two algorithms on in-line hologram reconstruction are analyzed. Then the GS algorithm is extended to reconstruct whole optical field form double or multiple holograms. At last, a new approach for reconstructing object from a hologram series is presented. Experimental results show that all these methods can reconstruct original object well.
We introduce an iterative method for finding a common element of the set of solutions of an equilibrium problem and of the set of fixed points of a finite family of nonexpansive mappings in a Hilbert space. We prove t...
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We introduce an iterative method for finding a common element of the set of solutions of an equilibrium problem and of the set of fixed points of a finite family of nonexpansive mappings in a Hilbert space. We prove the strong convergence of the proposed iterative algorithm to the unique solution of a variational inequality, which is the optimality condition for a minimization problem. (C) 2008 Elsevier Inc. All rights reserved.
For a class of singular linear systems with state and output disturbance, the condition of robust convergence for iterative learning control is discussed under the action of closed-loop PD-type iterative learning cont...
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For a class of singular linear systems with state and output disturbance, the condition of robust convergence for iterative learning control is discussed under the action of closed-loop PD-type iterative learning control algorithm. The boundedness of the tracking error of the systems is proved under boundedness of state and output disturbance. And output of the systems can track the desired trajectory asymptotically if all the disturbances are disappeared.
In this paper, we introduce a new system of generalized co-complementarity problems in Banach space. An iterative algorithm for finding approximate solutions of these problems is considered. Some convergence results f...
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In this paper, we introduce a new system of generalized co-complementarity problems in Banach space. An iterative algorithm for finding approximate solutions of these problems is considered. Some convergence results for this iterative algorithm are derived and several existence results are also obtained.
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