定性分析了提出算法的稳定性。
The stability of the proposed algorithm is qualitatively analyzed.
实验结果证明了本文提出算法的有效性。
The effectiveness of the proposed algorithm is demonstrated by experiment results.
结合工程实例，检验所提出算法的有效性。
The effectiveness and computational efficiency of the algorithm are proved by project practice.
理论分析和实测信号处理证明了提出算法的有效性。
Theoretical analysis and practical signal processing justify the effectiveness of the new symbol rate estimation algorithm.
最后给出了提出算法在多传感器数据融合中的应用。
The proposed method applying for multisensor data fusion is discussed at last.
论文所提出算法在实际多光谱图像压缩上得到了验证。
The efficiency of the proposed method is verified by experiments on real multispectral images.
基于仿射形状空间的实验了表明本文所提出算法的有效性。
Experiments within affine shape space prove the effectiveness of this novel proposed algorithm.
文章最后，用检索实例对所提出算法的有效性进行了验证。
Finally, using a retrieval example to carry out the verification on the effectiveness of the put forward algorithm.
在此基础上进行的多项实验结果验证了所提出算法的有效性。
Based on the new method above, put into practice, and proved to be effective and feasible.
结果表明，所提出算法至少可以求解25个工件规模的越库配送排序问题。
The computational experiments show that the proposed DP algorithm can handle problems up to at least 25 jobs.
优化后电机边端定位力大大减小，优化结果验证了本文所提出算法的有效性。
The end force is greatly reduced after optimization, and the optimizing results verify the effectiveness of the adaptive algorithm proposed in this paper.
为了验证提出算法的优越性，本文在第5章专门设计了一个挖掘算法对比实验。
In order to verify the superiority of the proposed algorithm, a comparative experiment of mining algorithm was designed in chapter 5.
对不同算法得到不同结果的原因进行探讨，提出算法和许用应力值的取用建议。
The reason of different results from different formulae is discussed, and adoption for the suitable formula and allowance stress is suggested in the paper.
通过实验比较了本算法和传统方法的性能，证明了本文提出算法的有效性和优势。
We compared the proposed method to traditional algorithms; the experiment results prove the validity and advantage of the proposed method.
在手写体阿拉伯数字数据库和人脸图像数据库上分别证实了所提出算法的有效性。
The proposed algorithms are validated on the handwritten Arabic numerals database and face database.
同时，本文还架设了一个图书推荐网站，直观的反应了文中提出算法的推荐效果。
At the same time, this paper has also set up a book recommendation site which intuitively reflects the recommended algorithm in the paper.
用散文而不是伪代码来提出算法，将焦点集中于算法本身，而不是特殊的计算模型。
Algorithms are presented using prose instead of pseudocode to focus attention on the algorithms themselves, rather than on specific computational models.
实验结果说明，通过提出算法设计的FIR滤波器的性能较传统设计方法有较大的提高。
Experimental results have shown that the performance of the FIR filters designed by this algorithm is better than that of traditional methods.
最后对本文提出算法进行水印透明性与失真标能能力实验，并给出实验结果与将来工作展望。
Propose to this text algorithm carry on watermark transparency with distorted to can marks the ability experiment finally, and provide experimental result and job prospect in the future.
最后通过实验验证该算法的可行性，结果表明所提出算法的检测误差与人工捕获相比不超过一个像素。
At the end the experiment shows that the error between this algorithm recognition and human capture is less then one pixel.
实验结果表明，提出算法的定位精度明显高于传统定位算法，且大大降低了离线阶段数据采集的工作量。
The experimental results show that the proposed algorithm obtains significant accuracy improvement while requiring a much smaller set of RSS training data than previous methods.
局部线性嵌入方法是一种应用广泛的流形学习方法，本文提出算法的一种改进，并将其应用于空间数据索引。
Locally linear embedding (LLE) is a widely-used manifold learning algorithm, in this paper we improve on the algorithm and put it to use in spatial data index.
第四章针对第三章提出算法的缺点，排出不确定传感器信息的影响，试验一种随机规划与局部路径规划相结合的混合路径规划方法。
Chapter 4, according to the shortage of the algorithm provided in the chapter 3 and removing the influence of unsureness sensors information, a feasible mixed approach of path planning is discussed.
基于AD9874 芯片的数字接收机，我们提出了一种扩展数字接收机谱宽的二次抽取算法。
We propose a second decimation algorithm for widening the range of sweep width in the AD9874 based digital receiver.
每个都提出一个新的挑战，所以我们的工程师需要不断提高和更新我们的算法。
Each presents a new challenge, so our engineers need constantly to improve and update our algorithms.
每个都提出一个新的挑战，所以我们的工程师需要不断提高和更新我们的算法。
Each presents a new challenge, so our engineers need constantly to improve and update our algorithms.
应用推荐