In this paper, continuous wave Yb3+-doped double-clad fiber lasers (DCFLs) with linear-cavity are investigated theoretically and numerically using the rate equations. Under the steady state conditions, the simplified ...
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In this paper, continuous wave Yb3+-doped double-clad fiber lasers (DCFLs) with linear-cavity are investigated theoretically and numerically using the rate equations. Under the steady state conditions, the simplified analytic solutions of Yb3+-doped DCFLs under considering the scattering loss are deduced in the strongly pump condition. Compared with the known analytic solutions in published literatures, our analytic solutions are more accurate, especially, at higher reflectivity of output mirror. In addition, a fast and stable algorithm based on the Newton-Raphson method is proposed to simulate numerically Yb3+-doped DCFLs. The results by simplified analytic solutions are in good agreement with those by the numerical simulation. Moreover, we have performed the optimization of an Yb3+-doped DCFL using the simplified analytic Solutions and the numerical simulations, respectively. (c) 2007 Elsevier B.V. All rights reserved.
The eddy current non-destructive evaluation (NDE) modelling using Stratton-Chu formulation-based fast algorithm is analysed. Stratton-Chu formulations, which have no low frequency breakdown issue, are selected for mod...
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The eddy current non-destructive evaluation (NDE) modelling using Stratton-Chu formulation-based fast algorithm is analysed. Stratton-Chu formulations, which have no low frequency breakdown issue, are selected for modelling electromagnetic NDE problems with low frequency and high conductivity approximations. As the main contribution of this article, the robustness and efficiency of the approximations, which result in big savings in both memory and CPU time, are validated and analysed using examples from practical EC testing. The boundary element method (BEM) is used to discretize the integral equations into a linear system of equations: the first order Rao-Wilton-Glisson (RWG) vector basis functions with the flat triangle meshes of the object and pulse basis functions are selected to expand the equivalent surface currents and the normal component of magnetic fields, respectively. Then the multilevel adaptive cross approximation (MLACA) algorithm is applied to accelerate the iterative solution process. The performance and efficiency of adaptively applying a multi-stage (level) algorithm based on the criteria concluded for the operators are shown. This article is part of the theme issue 'Advanced electromagnetic non-destructive evaluation and smart monitoring'.
RT (rotation and translation) scan mode for 2D (two-dimensional) CT (computed tomography), based on multiple axes, can scan large-sized work pieces and components with paraxial X-ray beam. Compared with the traditiona...
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RT (rotation and translation) scan mode for 2D (two-dimensional) CT (computed tomography), based on multiple axes, can scan large-sized work pieces and components with paraxial X-ray beam. Compared with the traditional second generation scan mode of TR (translation and rotation), it can save about 3/4 times of the scan time. The accurate reconstruction algorithm by region, can remove the artifacts around inner and outer borders in general reconstruction images. But a mass of zero values participate back-projection operations, and slow down the accurate algorithm operation. In this paper, projection data are grouped according to the regions they located before being back-projected. Data are selected or not according to the regions ID determined in advance during back-projection. So zero values are kicked out by their locations, before doing some time-consuming works such as reading, judging or accumulating the values and so on. And computer simulations show that the reconstruction algorithm saves at least half of the operation time according to the number of rotation centers. (C) 2010 Published by Elsevier Ltd.
Compressed Sensing (CS) has been successfully applied to the parameter estimation of Linear Frequency Modulation (LFM) signal. Compared to the Nyquist sampling method, far less samples are needed to estimate the frequ...
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ISBN:
(纸本)9781479952748
Compressed Sensing (CS) has been successfully applied to the parameter estimation of Linear Frequency Modulation (LFM) signal. Compared to the Nyquist sampling method, far less samples are needed to estimate the frequency parameter. However, the super-resolution estimation of frequency parameter can greatly increase the number of atoms in the over-complete dictionary and it will brings a huge amount of computation. This paper proposes resolutions to this problem. Taking the feature of CS into account that the sampling and compression are completed at the same time, we structure a measurement matrix which can complete the compressive sampling and down-chirp simultaneously. Furthermore, we propose a down-chirp based method and improve it with fast computing strategy to solve the above problem. Simulation results have proved that the frequency parameter can be accurate estimated under a low SNR and sampling condition. Meanwhile, compared with the proposed method, the improved algorithm greatly reduces the scale of over-complete dictionary and the amount of computation, and the estimation time has been cut down significantly.
A fast and efficient algorithm is presented allowing a firefighter dressed in a smart firefighter protective suit continuously informing him about the time that he can still safely spend in a burning bidding, which is...
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ISBN:
(纸本)9781467386982
A fast and efficient algorithm is presented allowing a firefighter dressed in a smart firefighter protective suit continuously informing him about the time that he can still safely spend in a burning bidding, which is characterized by an dynamic environment of time-variable temperature. The algorithm starts from precalculated time evolution of temperature at selected places of the overall (mostly along its internal surface) for a number of values of the delivered external heat power that are then approximated by simple exponential functions. The prediction is then based on successive measurements of three or more temperatures in time and finding such a precalculated exponential function that best tits them. This function is important for predicting the maximum time of stay that is still safe for the firefighter in the current conditions.
In High Efficiency Video Coding (HEVC), intra coding plays an important role, but also involves huge computational complexity due to a flexible coding unit (CU) structure and a large number of prediction modes. This p...
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ISBN:
(纸本)9781467399616
In High Efficiency Video Coding (HEVC), intra coding plays an important role, but also involves huge computational complexity due to a flexible coding unit (CU) structure and a large number of prediction modes. This paper presents a fast algorithm based on the sole-and multi-depth measurements to reduce the complexity from CU and prediction mode decisions. For the CU decision, evaluation results with sole and multiple depths are utilized to judge if the CU is a heterogeneous, homogeneous, or depth prominent one, where fast CU decisions are made. For the prediction mode decision, the tendencies for different CU sizes are detected based on multiple depths. The number of searching modes is decreased adaptively for the depth with fewer tendencies. Experimental results show the proposed algorithm reduces 61.49% computational complexity, with 0.75% bit-rate increasing, which is more efficient than state-of-the-arts.
This paper presents a fast algorithm for the joint least squares DC and channel estimation in GSM/EDGE receivers. In comparison to a straightforward implementation, our algorithm reduces both the computational complex...
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This paper presents a fast algorithm for the joint least squares DC and channel estimation in GSM/EDGE receivers. In comparison to a straightforward implementation, our algorithm reduces both the computational complexity and the memory usage by roughly 50%. (C) 2007 Elsevier GmbH. All rights reserved.
Scalable video streams can be extracted to meet the bandwidth limitation of different networks and end-users. Bitstream extraction is usually performed at the network proxy or gateway during transmission, where a low ...
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Scalable video streams can be extracted to meet the bandwidth limitation of different networks and end-users. Bitstream extraction is usually performed at the network proxy or gateway during transmission, where a low computational complexity is always preferred. How to quickly and accurately select the best resolution combination for a video to meet different bandwidth requirements by each user is crucial in bitstream extraction. In this paper a fast algorithm of bitstream extraction for scalable video is proposed. The interlayer dependency between the base quality layer and the first quality layer was used to predict the distortion of higher quality layers. When quality of every layer is available, the proposed method searches for the optimized combination of quality layers based on simulated annealing. Experimental results show that the proposed method provides an optimized performance, which is significantly higher than that can be achieved by the basic extraction method. Compared to the quality layer based extraction method in the reference software model of H.264/SVC (i.e., JSVM), the proposed algorithm can greatly decrease the decoding times from 2NT to only 2 without losing rate-distortion performance. Furthermore, the proposed method obtains a more smoothed video quality which is always favorable to the observer. (C) 2013 Elsevier Inc. All rights reserved.
Frequency selectivity is an important indicator of auditory function in the human ear. Stimulus frequency otoacoustic emission (SFOAE) suppression tuning curves (STCs) have great potential in the objective analysis of...
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Frequency selectivity is an important indicator of auditory function in the human ear. Stimulus frequency otoacoustic emission (SFOAE) suppression tuning curves (STCs) have great potential in the objective analysis of human auditory frequency selectivity but are costly to measure by the traditional algorithm using pure-tone adaptive method. To improve the measurement efficiency of the SFOAE STCs, a faster algorithm based on a suppressor with gradiently changing intensity and interpolation is proposed in this paper. Twelve subjects participated in this study by measuring their SFOAE STCs through the traditional and fast algorithm. The results shows that the average correlation coefficients of the SFOAE STCs measured using the fast and the traditional algorithms at different probe frequencies is 0.94. And the measurement speed of the fast algorithm was approximately 2.10 times higher than the traditional one. Also, the fast algorithm is more efficient than the algorithms of Keefe et al. (2008) and Charaziak et al. (2013). Experimental evidence is provided that the proposed fast algorithm greatly improves the measurement speed and reduces the processing time, exhibiting good accuracy and reliability. (C) 2017 Elsevier Ltd. All rights reserved.
Banded Toeplitz systems of linear equations arise in many application areas and have been well studied in the past. Recently, significant advancement has been made in algorithm development of fast parallel scalable me...
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Banded Toeplitz systems of linear equations arise in many application areas and have been well studied in the past. Recently, significant advancement has been made in algorithm development of fast parallel scalable methods to solve tridiagonal Toeplitz problems. In this paper we will derive a new algorithm for solving symmetric pentadiagonal Toeplitz systems of linear equations based upon a technique used in [J.M. McNally, L.E. Garey, R.E. Shaw, A split-correct parallel algorithm for solving tri-diagonal symmetric Toeplitz systems, Int. J. Comput. Math. 75 (2000) 303-313] for tridiagonal Toeplitz systems. A common example which arises in natural quintic spline problems will be used to demonstrate the algorithm's effectiveness. Finally computational results and comparisons will be presented. (C) 2009 Elsevier B.V. All rights reserved.
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