In this paper, we present a new iterative algorithm with errors to solve the problems of finding zeros of the sum of finitely many m-accretive operators and finitely many alpha-inversely strongly accretive operators i...
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In this paper, we present a new iterative algorithm with errors to solve the problems of finding zeros of the sum of finitely many m-accretive operators and finitely many alpha-inversely strongly accretive operators in a real smooth and uniformly convex Banach space. Strong convergence theorems are established, which extend the corresponding works given by some authors. Moreover, the relationship among the zero of the sum of m-accretive operator and alpha-inversely strongly accretive operator, the solution of one kind variational inequality, and the solution of the capillarity equation is investigated.
Spectrally efficient frequency-division multiplexing (SEFDM) is a promising solution to increase communication spectral efficiency, which can pack even more sub-carriers than the orthogonal frequency-division multiple...
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ISBN:
(纸本)9781510667716;9781510667723
Spectrally efficient frequency-division multiplexing (SEFDM) is a promising solution to increase communication spectral efficiency, which can pack even more sub-carriers than the orthogonal frequency-division multiplexing in a given bandwidth. However, the cost is the introduction of inter-carrier interference (ICI), increasing the difficulty of signal reception and demodulation. When SEFDM signals are incorporated into a microwave photonic link, in addition to ICI, the nonlinear interference introduced by the nonlinearity of the microwave photonic link should also be considered. In this work, an iterative algorithm for microwave photonic SEFDM transmission systems is proposed to compensate for the inherent ICI of the SEFDM signal and reduce the third-order intermodulation distortion (IMD3) introduced by the microwave photonic transmission link. In the digital algorithm, the received 16 quadrature-amplitude modulation (QAM) SEFDM signal experiences several iterations, and in each iteration, the input SEFDM signal is modified, demodulated, and forward error correction (FEC) decoded into a bit sequence, which is remapped to QAM symbols to reconstruct the interference signals for canceling the distortion. Experimental results show that 16-QAM SEFDM signals with a bandwidth compression factor of 0.85 and high nonlinearity are successfully recovered from a microwave photonic link. The proposed method integrates the demodulation of SEFDM signals with the elimination of IMD3. Due to the employment of the FEC, compared with the traditional iterative ICI compensation (IIC) algorithm only for SEFDM signal demodulation, the signal demodulation capability is improved, and the improvement of signal demodulation capability also provides great help for the elimination of IMD3.
The vibration method is usually used for field measurement of cable tension of cable system bridges. The cable tension evaluation method is mostly based on the simple taut string theory. However, the simple theory may...
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ISBN:
(纸本)9783037857755
The vibration method is usually used for field measurement of cable tension of cable system bridges. The cable tension evaluation method is mostly based on the simple taut string theory. However, the simple theory may cause unacceptable errors in many applications especially for the cables with big bending stiffness and two ends fixed boundary conditions. In this paper a cable tension estimation method based on iterative algorithm and optimization algorithm is presented and implemented using finite element method and ANSYS soft ware. Compared with the analytical method and empirical formulas the method presented in this paper is more convenient and the application range is more extensive. The accuracy of the method has been verified by a set of test. In the end, the method is used to estimate the cable tension of a tied-arch bridge's suspenders.
The applicability of the iterative numerical algorithm of the pulse-spectrum technique (PST) to solve inverse problems of two-dimensional linear diffusion equations is demonstrated. Numerical simulations are carried o...
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The applicability of the iterative numerical algorithm of the pulse-spectrum technique (PST) to solve inverse problems of two-dimensional linear diffusion equations is demonstrated. Numerical simulations are carried out to test the feasibility and to study the general characteristics of this technique without the real measurement data. It is found that PST also gives excellent results and is as robust as for solving the inverse problem of the one-dimensional linear diffusion equation.
The influence of channels' amplitude and phase errors on target position precision was simulated and analyzed based on the principle of binary array orientation. We calculated ratios of channels' electric fiel...
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ISBN:
(纸本)9781467318006
The influence of channels' amplitude and phase errors on target position precision was simulated and analyzed based on the principle of binary array orientation. We calculated ratios of channels' electric field intensity corresponding to different target positions. An iterative algorithm which used in channel calibration of four-element-array target simulator is designed. Experimental results prove that it can satisfy the requirements of high accuracy, and is applicable to a lot of target simulation systems.
A novel iterative algorithm of calculating the exact transitive closure of a parametrized graph being represented by a union of simple affine integer tuple relations is presented. When it is not possible to calculate ...
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A novel iterative algorithm of calculating the exact transitive closure of a parametrized graph being represented by a union of simple affine integer tuple relations is presented. When it is not possible to calculate exact transitive closure, the algorithm produces its upper bound. To calculate the transitive closure of the union of all simple relations, the algorithm recognizes the class of each simple relations, calculates its exact transitive closure, forms the union of calculated transitive closures, and applies this union in an iterative procedure. Results of experiments aimed at the comparison of the effectiveness of the presented algorithm with those of related ones are outlined and discussed.
In this paper an iterative Least Square (LS) channel estimation algorithm for MIMO OFDM systems is proposed. Compared with the common LS channel estimation, this algorithm can highly improve the estimation accuracy. M...
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ISBN:
(纸本)0780379381
In this paper an iterative Least Square (LS) channel estimation algorithm for MIMO OFDM systems is proposed. Compared with the common LS channel estimation, this algorithm can highly improve the estimation accuracy. Moreover, the lowpass filtering in the time domain reduces AWGN and ICI significantly. This algorithm enables MIMO OFDM systems to work well in mobile situations. simulation results confirmed good MSE performance of this algorithm.
Traditionally, the accuracy of range queries in differentially private histogram publication was boosted by obtaining the Best Linear Unbiased Estimator (BLUE) of the nodes' noisy values in the Differential Privac...
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ISBN:
(纸本)9781479928293
Traditionally, the accuracy of range queries in differentially private histogram publication was boosted by obtaining the Best Linear Unbiased Estimator (BLUE) of the nodes' noisy values in the Differential Privacy Range Tree (DPRT). However, exist works require DPRT be perfect k-ary, which means it is not suitable for differentially private histogram publication under arbitrary tree structure In this paper, we propose an efficient iterative algorithm GBLUE for differential privacy histogram publication based on any tree structure. The correctness of GBLUE is guaranteed by theoretical analysis and experimental demonstration. Experimental results show that GBLUE is effective and feasible.
Metasurfaces,which are the two-dimensional counterparts of metamaterials,have demonstrated unprecedented capabilities to manipulate the wavefront of electromagnetic waves in a single flat *** various advances in this ...
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Metasurfaces,which are the two-dimensional counterparts of metamaterials,have demonstrated unprecedented capabilities to manipulate the wavefront of electromagnetic waves in a single flat *** various advances in this field,the unique functionalities achieved by metasurfaces have come at the cost of the structural complexity,resulting in a time-consuming parameter sweep for the conventional metasurface *** artificial neural networks provide a flexible platform for significantly improving the design process,the current metasurface designs are restricted to generating qualitative field *** this study,we demonstrate that by combining a tandem neural network and an iterative algorithm,the previous restriction of the design of metasurfaces can be overcome with quantitative field *** proof-of-principle examples,metalenses predicted via the designed network architecture that possess multiple focal points with identical/orthogonal polarisation states,as well as accurate intensity ratios(quantitative field distributions),were numerically calculated and experimentally *** unique and robust approach for the metasurface design will enable the acceleration of the development of devices with high-accuracy functionalities,which can be applied in imaging,detecting,and sensing.
This paper introduces a robust iterative algorithm to estimate the parameters of the generalized gamma (GG) distribution. The proposed algorithm loops on an interval I-p of the shape parameter p such that the log-like...
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ISBN:
(纸本)9781479979813
This paper introduces a robust iterative algorithm to estimate the parameters of the generalized gamma (GG) distribution. The proposed algorithm loops on an interval I-p of the shape parameter p such that the log-likelihood function are simplified as a univariate objective function for each p is an element of I-p, which can be evaluated efficiently. An iterative procedure is then designed to maximize the objective function, which keeps squeezing the interval of search using translated asymptotes and interpolation. The results of maximization form a set of local maxima. Therefore, the estimates derived from the maximum of these local maxima. Comprehensive validation of the algorithm is performed as well, showing the robustness as well as efficiency as we expected. Due to the employment of the specific interpolation, the algorithm determines the roots with precision level of 10(-10) within four iterations, which is a rather well-pleasing performance. We also claim that the flexibility of the algorithm allows us to transplant the algorithm to a distributed platform for very large scale data processing. Further optimization is still open to be discussed.
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