算法的

An algorithm of edge detection combined with morphological filter is proposed, firstly, it adopts adaptive method to decide the wimble structuring element and applies iterative morphological filter based on two wimble structure elements to filter the image, then uses multi-scale morphological edge detector to get multi-scale edges, and obtains the more ideal image edges under the environment of existing noise by integrating the edges of various sizes.

文中提出了一种结合形态学滤波的边缘检测算法，该算法采用自适应方法确定锥形结构元素，然后利用双锥形结构元素对图像进行形态学迭代滤波，对滤波后的图像进行多尺度形态学边缘检测，并将各尺度下边缘检测的结果进行合成，最终得到在噪声存在条件下较为理想的图像边缘，并且与其它边缘检测算法进行了对比实验，实验验证了该算法的可行性和有效性。

Firstly,we particularly explained the algorithmic of themusic recognition.Then,we made a study of the music characteristic and the musicrecognition methods.As for the burrs of the music signal,we put forward a curveplastic method to eliminate the burrs.Considering the difficulties of detecting thepoint of the music speech,we made use of the multi-frequency energy curve to detectthe end-point of the music signal with the crossing zeros rate.As for thedisadvantages of the large operation and influence of the formant,we improved theAMDF theory with the linear prediction algorithmic to detect the error.In order toobtain the characteristic parameter of the music signal,wo calculate the MFCCparameter to obtain the template and the pending signal characteristic parameter.Inorder to improve the rate of the recognition,considering the disadvantages of theDTW algorithmic,we find a new method to improved the DTW algorithmic bybroadening the point of the music signal and made simulation experimentation;As forthe disadvantages of the contraposition grade to the pitch,cadent and sing name,wefind a method to dynaic adjust the results of the recognition to improve the accuracyof the grade.

详细阐述了嵌入式音乐识别算法的详细设计与实现，研究了音乐语言的特点和音乐识别的侧重点，并阐述了基于音乐信号特色的语音处理及识别方法；针对音乐信号中的毛刺干扰，提出了曲线整形的思想，消除了音乐信号中的毛刺；针对音乐信号端点检测困难的特点，利用多频段能量曲线分割结合过零率来实现端点准确检测；针对音高提取运算量大且容易受共振峰影响的特点，利用线性预测残差的方法对传统的AMDF算法进行了改进并提取出了音高，在实际实现时，优化了AMDF算法，减少了计算量；为了得到较好的特征参数，通过求取梅尔频标倒谱系数的方法，分别提取了模板信号特征参数和待测信号特征参数；为了提高识别率，针对传统DTW算法的缺陷，采用了放宽端点和声刺激法改进了传统的DTW算法的性能并进行了仿真试验，使音乐识别率得到明显提高；在音高、节奏评分时，针对对位评分的缺点，采取了动态调整的方法提高了评分的准确度。

The algorithm needn't generate candidate itemsets and scan database, because it employs FP-Tree to store trasanctions in database compressedly and takes full advantage of the characteristic of FP-Tree.Consequently,the complexity of space and time the algorithm used is reduced obviously in the procedure of data mining.In a thorough experimental analysis of our algorithm on real and synthetic data,we isolate the effect of the individual components of the algorithm. Our performance numbers show that MFP-Miner outperforms previous work.

该算法利用频繁模式树来压缩存储数据库中的事务，并充分利用频繁模式树的特点，在挖掘最大频繁项目集的过程中不需要产生候选项目集和扫描数据库，从而减少了算法在挖掘过程中使用的存储空间和计算时间，通过实验结果显示，该算法的性能优于同类算法。

The results show that,the kernelized versions of the Xie-Beni index VXB and its emendatory index VK are the most effective and reliable of the indices considered,so can be given the priority as the cluster validity criteria for KFCM algorithm.

将经典的聚类算法推广到核Hilbert空间，是无监督学习领域近年来的研究热点之一[1~6]。然而，和原空间中的聚类算法一样，核化的聚类算法也需要事先给定聚类数目c，这直接影响了这些算法的易用程度和实际性能。众所周知，聚

Studies the high precision estimation methods of echo frequency, proposes a simplified TLS-ESPRIT method for frequency estimation based on uniform sampling data. For moving platform, such as torpedo, proposes a time fusion algorithm for target status estimation based on multicycle data of single sensor.

c。深入研究了回波信号的高精度频率估计技术，提出了一种基于均匀采样数据的TLS-ESPRIT频率估计算法；针对运动平台，提出了一种单传感器多测量周期目标状态估计的时间融合算法；以炸点预测为例构造了相应的状态模型及算法，计算机仿真验证了融合算法的有效性。

Fractal theory quantifies these phenomena mainly by ascertaining their fractal dimensions.Box-counting algorithm is the one most practical and also most frequently adopted method.The traditional box-counting algorithm is based on the grid document and has some serious shortcomings,such as the distortion of the image being enlarged,the trivialness of the process and the finite of the iterative degree,etc.The vector box counting algorithm developed in this paper takes vector document as the carrier and has three advantages.

传统的计盒算法是基于栅格文件的方法，由于其存在图像放大后失真、过程繁琐和迭代次数有限等缺陷，因此为了准确简单方便地进行分维计算，开发了一种以矢量文件为载体的矢量计盒算法，并详细阐述了这种算法的数据结构、处理流程和主要函数，同时以Koch曲线、骨肿瘤边界及水系证明了矢量计盒算法的准确性和优越性。

We demonstrate the process of controlling superheated steam temperature. Virtual DCS redounds to training and applic...

论文详细阐述了单神经元自适应控制算法和专家PID 控制算法在LN2000 DCS中的应用，利用虚拟DCS 的仿真功能分别对这两种算法的控制效果进行了仿真，其结果证明两种控制算法具有良好的跟踪性能和较强的鲁棒性。

Therefore, aiming at the phenomena of overloading and inefficient Business Sporting Systems due to increasing reduplicated TTDP, the algorithm of conflict detection for reduplicated TTDP was proposed and automatic conflict detection was implemented with combination of expert platform. Each discount policy was expressed into the conditional part and conclusive part with traditional knowledge expression method and applying idea of the representative algorithms of conflict detections such as Rete and improved Rete algorithms.

针对重复套餐增多致使业务支撑系统不堪重负而出现效率低下甚至宕机的现象，运用人工智能知识表示的方法将电信资费每条优惠规则表示为条件部分和结论部分，采用当前有代表性的冲突检测算法Rete算法和Rete改进算法的思想，提出了优惠规则冲突检测算法，与专家平台相结合，实现了优惠规则的自动化冲突检测。

The research involves constructing network error model, choosing interpolation method, computing and validating integrity index for error correction, calculating user protection level.

算法主要包括网络系统完备性算法和用户完备性算法，内容包括网络误差模型的建立、插值算法的选择、误差改正数完备性指标的计算、完备性指标的验证和用户保护水平的计算等。

By the analyses on the existing detector generating algorithms, we achieved the improvement of the linear time detector generating algorithm, which was widely used at present. The efficiency of the linear algorithm was improved by eliminating the reluctant detectors, and at the same time the improved algorithm was ensured to cover the nonself space as much as possible.

在分析已有的检测器生成算法的基础上，改进了目前使用最多的线性检测器生成算法，通过消除冗余的检测器提高了线性检测器生成算法的效率，同时还保证了改进后的算法能够尽可能多地覆盖&非我&空间。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。