算例表明,本文算法是可行的。
本文算法充分考虑到了这些情况。
The algorithm described in this article take all conditions into consideration.
实验证明了本文算法的有效性和鲁棒性。
Experiments show the effectiveness and robustness of the proposed algorithm.
通过实验,验证了本文算法gss的效率。
According to experiment, the efficiency of GSS algorithm was confirmed.
实验结果证明了本文算法的正确性和有效性。
The results of experiments show the correctness and effectiveness of this algorithm.
最后的实验结果表明本文算法是快速、稳健的。
The experimental results show that the algorithm is speedy and robust.
本文算法对于时序数据的聚类具有较强的鲁棒性。
Proposed dynamic clustering algorithm has strong robustness in clustering of time series multi-dimensional data.
理论分析和数值结果均表明本文算法是可靠和有效的。
Both theory analysis and numerical results show that this algorithm is reliable and efficient.
实验证明,本文算法可以获得较为理想的检测效果。
Experiment results show that the considerable detection could be expected.
实验结果表明,本文算法可以重构具有任意拓扑的复杂表面。
Experimental results show that the algorithm can efficiently obtain the reconstructed mesh surface with arbitrary topology.
最后以车队的相互通信和指挥控制为例说明了本文算法的应用。
At last, as an example, the algorithm is applied to the intercommunication and command-control in a motorcade.
理论分析与试验结果显示本文算法能够准确高速地完成倾斜校正。
Experiment results and theoretical analysis show that the algorithm works accurately and fast.
实验结果表明本文算法能有效提取图像弱边缘,具有很好的实用性。
The experimental results show that the method has high efficiency, and it detects more week edges.
理论分析和大量实验结果表明,本文算法具有收敛速度快和稳定性好。
Theoretical analysis and experimental data show that the new (IES) has high converge speed and stability.
本文算法为磨粒识别和机械磨损状态监测及故障诊断提供了可靠的前提。
The reliable foundation is provided in order to identify wear particles, monitor wear state of machine and diagnose wear faults of machine.
实验结果表明,本文算法成像质量高,可以表现人体的细微结构和纹理信息。
Experimental results show that the algorithm can generate high quality images and the images can display details and textures of the body.
实际算例表明,本文算法不仅计算过程稳定、计算速度快,而且计算误差小。
The application examples have shown that this method is stable in calculation process, rapid in calculation speed and minimal in calculation error.
本文算法的绘制速度只与体纹理分辨率等参数有关而与模型的几何复杂度无关。
And we have realized the algorithm whose rendering speed is independent of the complexity but only deponds on the resolution and other parameters of the volumetric texture.
针对信息隐藏话机研究要考虑的三个问题,结合本文算法,分别提供了解决思路。
With the presented algorithm, this paper proposes some ideas to solve the three problems which the research of information hiding phone must be considered.
本文算法主要适用于软件实现,在rsa和ecc等公钥体制实现中有广泛的应用。
The proposed algorithms are suitable for software implementations on gener - al-purpose microprocessors, and can be used in public key cryptographic applications such as RSA and ECC.
理论分析和仿真实验结果表明,本文算法可以有效地提高信息论检测准则的检测性能。
Results from our theoretical analyses and computer simulations show that, the proposed method can effectively improve detection performance of the infrmation criteria.
这样从理论分析和数值实验两方面说明本文算法是可行的,且能得到比较不错的非劣解。
Thus, it is interpreted that the algorithm is feasible from the aspects of theoretic analysis and numerical experiments, and pareto solutions can be came to.
实验选取了不同类型的红外图像,将本文算法和其他文献中算法的分割结果进行了比较。
Different types of infrared images are selected to compare the results of purposed algorithm and the other two algorithms in references.
随后作者又将本文算法同平均分配算法和反信道条件算法做了比较,分析了他们的优缺点。
Then the author compared the new algorithm with the uniform allocating algorithm and the channel reversing algorithm, analyzed their advantages and disadvantages.
最后通过算例,与常用的模糊概率的可靠性分析方法进行比较,来验证本文算法的有效性。
Finally, an example is given to prove the validity of the proposed method by comparing it with the traditional reliability analysis method of fuzzy probability.
实验结果表明,本文算法只需对压缩视频流进行半解码,提高了检测效率,改善了检测效果。
Using this method, it is not necessary to fully decompress MPEG video sequence. Both the efficiency and detecting effect is improved dramatically.
在实验中,与传统的序贯相似性检测算法(SSDA)作了比较,证明了本文算法的有效性。
In our experiment, it is proved to be effective after comparing with the conventional sequential similarity detection algorithm (SSDA).
实验结果表明,本文算法能有效识别多种镜头类型,对视频分析、检索等具有一定实用价值。
The experimental results show the effectiveness of the proposed algorithm, from which the performance of video analysis and retrieval can be expected to benefit.
与现有遮挡目标匹配算法相比,在不同遮挡情况下本文算法的平均识别率提高了1.5%左右。
Compared with some current matching algorithms, the proposed algorithm improves the average recognition rate about 1.5% under various occluded cases.
与现有遮挡目标匹配算法相比,在不同遮挡情况下本文算法的平均识别率提高了1.5%左右。
Compared with some current matching algorithms, the proposed algorithm improves the average recognition rate about 1.5% under various occluded cases.
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