大量的数值试验表明该近似算法性能良好。
Many numerical tests show that the fast approximation algorithm has very good performance.
实验还分析了扩充行为对算法性能的影响。
Also, an experimental analysis is presented about the influences of different extension movements on PSO's performance.
噪声环境下大多数盲源分离+算法性能大大降低。
Most algorithms for blind signal separation (BSS) have poor performance in a noisy back-ground.
并针对频率选择性信道采用了多符号平均改善算法性能。
In order to improve performance of this method over frequency selective channel, we average over several symbols.
该系统算法性能优异，运算速度快，精度高，兼容性好。
Our algorithm features a fast computing speed, a high resolution, and an excellent compatibility as well.
本文也通过实验分析了蚂蚁数量等参数对算法性能的影响。
The paper analyzes the influence of the parameters, such as ant population, on the algorithm performance.
此外，它在算法性能与复杂度的折衷方面有着明显的优势。
Moreover, it has a significant benefit in the tradeoff between performance and complexity.
提出了一种对图像单目标识别算法性能进行量化评估的方法。
A quantitative performance evaluation method for image target detection is proposed.
本文还进一步分析了组合分类器参数设置对该算法性能的影响。
The paper also presents a further discussion on the parameters of the combining classifier which will affect the performance.
在聚类的过程中簇间距离计算的准确性是影响算法性能的重要因素。
The cluster distance computing method is the key issue affecting the performance of hierarchical clustering algorithm.
实验结果表明多种群以及融合算子的引入，极大地提高了算法性能。
Simulation results show that the algorithm achieves a noticeable gain of performance by introducing multiple colony and fusion operator.
实验结果证明，该算法性能较好，适用于上百万订阅量的数据流系统。
Experimental results show that the algorithm has good performance and ADAPTS to the system with millions of subscriptions.
文章深入研究了网络光纤数、备用路由数和网络负载对算法性能的影响。
The effect of network load and number of fibers and alternate routings on the performance of the algorithm was described.
定义了聚合误差率，以此作为准则来精确衡量几何聚合算法性能的优劣。
Moreover, the aggregation error rate is defined to evaluate the performances of geometric aggregation schemes more accurately.
剩余均方误差(MSE)和收敛速度是衡量均衡算法性能的两个常用标准。
Usually, excess mean square error (MSE) and convergence speed are two criterions used to evaluate performance.
分析了通道不一致对算法性能的影响，建立了宽带信号模型的通道误差模型；
The channel uncertainty of wideband signals is modeled and its affection on the performance of DOA estimation is analyzed.
本文根据影响并行蚁群算法性能的关键因素，提出了一种自适应的并行蚁群算法。
An adaptive parallel ant colony algorithm is presented by considering the critical factors influencing the parallelization of the ant colony algorithm.
无线OFDM系统中基于导频辅助的信道估计必须折衷考虑算法性能与算法复杂度。
The tradeoff between performance and complexity must be taken into account in channels estimation algorithm of wireless OFDM systems.
实验中用10个20 ~ 10 000维的标准测试函数对算法性能进行了测试。
In the experiments, 10 benchmark functions with 20 ~ 10 000 dimensions are used to validate the performance.
使用四个不同类型基准函数测试结果表明，新型算法比全局惯性权值算法性能更好。
The results illustrate that the new PSO has higher performance than the PSO with global inertia weight.
实验结果表明：该算法性能优于所比较的两种算法，并且具有良好的收敛性和稳定性。
The results show that the proposed algorithm is superior to the other two algorithms with a better astringency and stability.
以对数周期天线圆形阵为基础，提出了一种比幅测向算法，并对算法性能进行了分析。
Based on a log-periodic antenna array, a direction-finding algorithm is put forward and its performance has been analyzed.
本文通过实验探讨几个关键参数对算法性能的影响，从而说明算法中参数的选择方式。
This paper discusses the effect of these key parameters on the algorithm by experimental results, and then suggests how to select these parameters properly.
比较了目前分布式视频系统的各种码率估计算法性能，并提出了改进的码率估计算法。
With a comparison on a few of rate estimation algorithms, an improved methods resided in the decoder is proposed in this paper.
通过分析PCS对算法性能的影响，从理论上建立了遗传算法参数与其性能之间的联系。
We set up a relationship between parameters selection and GA performance theoretically by analyzing the influence of the PCS on the performance of GA.
分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
分枝限界算法是一种求解组合优化问题的一般性方法，并行化是提高算法性能的有效手段。
Branch and Bound algorithm is a general method for solving Combinatorial Optimization Problems. Parallelization is an effective means to improve the algorithm performance.
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