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Then, the relation between vibration and sound, the acoustic holography method, the indeterminacy and identifiability of BSS, the BSS algorithm are discussed in detail. Based on above researches, the dissertation is divided in following four sections. The first section investigates the BSS algorithm suitable to acoustic feature separation. The algorithm of the joint approximate diagonalization of eigen-matrices is proposed. The spectra or the time-frequency distributions of source signals are the interesting features in ABD and they are separated from mixing signals by JADE algorithm. Then, the convolutive mixing model is transformed into a high-dimension instantaneous mixing model, and the deconvolution of source signals is achieved by the joint approximate block diagonalization of eigen-matrices. The proposed algorithm has a global minimum, and it is unsensitive to noise interference.

论文首先概述国内外声学诊断研究进展与盲分离研究进展,给出机器噪声声场与盲分离的数学描述,讨论了声振辐射、声全息、盲分离模型、盲分离可解性、盲分离结果不确定性、分离算法等基本问题,在此基础上,论文的研究工作分为以下四个部分:第一部分研究适用于声学特征分离的盲分离算法,提出基于特征提取的联合近似对角化盲分离算法,该算法以频谱特征或时频特征作为分离目标,从混合信号中分离源信号频谱特征或时频特征,最大限度地保留了与声学特征提取有关的频谱特征或时频特征,采用模型变换把卷积混合模型变换为一个高维瞬时混合模型,通过联合近似分块对角化算法实现源信号频谱特征与时频特征的盲反卷积。

As a differential detection is used between the intercarrier, the proposed algorithm overcome the high sensitivity to timing error of conventional algorithm and is robust to multi-path. The effect of sample frequency offset can't be ignored in a continuous OFDM system of a large number of subcarriers. The estimation precision of the conventional algorithm is low and the realization is complex. A joint estimation of sample frequency offset and fine frequency offset based on difference operation is proposed. As averaging use a large number of samples in a maximum likelihood algorithm, the estimation precision is very high. The use of difference operation cancel the effect of carrier frequency offset, and the proposed sampling frequency estimation algorithm is robust to carrier frequency offset.

最后,本文对连续系统中的采样频率和载波频率精同步技术进行较为深入的研究,由于子载波数目大的连续OFDM传输系统中,采样频率偏差不可忽视,以往的采样频率估计方法精度低、实现复杂,因此本文提出了一种基于差分处理的采样频率偏差和精载波频率偏差联合估计算法,利用了最大似然算法进行采样频率偏差的估计,由于采用了差分处理方法,消除了载波频率偏差对采样频率偏差估计的影响,采用的最大似然算法对大量样点进行平均化处理,所以,相对以往算法,提出的联合算法估计精度高,而且采样频率偏差估计对载波频率偏差具有鲁棒性。

this text briefly introduce association rule.by analyzing the application of classic apriori algorithm, apriori algorithm is found that it has some disadvantages. and then farm_new algorithm and the apriori algorithm of riddling compression those improving the association rule algorithm are proposed.

简要地介绍了关联规则,通过对关联分析的经典算法-apriori算法的分析,发现了经典算法apriori算法的缺陷,给出了改进的关联规则算法farm_new算法和基于筛选压缩的apriori挖掘算。

The model was based on genetic tabu algorithm of global search and BP global network of local search precision features, combined genetic tabu algorithm and BP algorithm, and used genetic tabu algorithm initial weights of BP network, at the same time,used niching technology to improve genetic tabu algorithm.

该模型基于遗传禁忌算法的全局搜索和BP网络局部精确搜索的特性,将遗传禁忌算法和BP算法有机结合,利用遗传禁忌算法优化BP网络初始权重,同时引入小生境技术改进遗传禁忌算法。

Load balancing algorithm determines the link to be used to transfer data, including round-robin algorithm, MAC address-based algorithm, IP address-based algorithm and IP address plus TCP port-based algorithm.

负载均衡算法决定传输链路的选择,常用的包括轮转法、基于MAC地址的算法、基于IP地址的算法和基于IP地址和TCP端口地址的算法。

P. Then extension is done for Bajards algorithm about efficient multiplication in GF,we use non-liner binomials instead of liner binomials used in former algorithm and give thenew algorithm. We prove the algorithm theoretically and practically that new algorithm ismore applicable and has more advantages in software implementation.

对Bajard提出的GF上乘法快速实现算法进行了扩展,使用非线性二项式代替原先算法所使用的线性二项式,给出了一个新的GF上乘法快速实现算法,理论分析和仿真试验均证明了新算法适用范围更广且复杂度更低,更适合于软件实现。

This article proposed one kind of improvement algorithm in this foundation, this algorithm has defined a filter balance factor formula, according to this formula, we readjustment filter balance factor value appropriately, through controlsling the LMS filter coefficient's freezing and the restoration, we solute echo puzzle perfectly; In the telephone condition examination algorithm aspect, in view of the busy signal examination algorithm which has has only been able to examine the busy signal, but cannot examine the dial tone, hang the staccato the deficiency, this article improves its algorithm to enable it to apply these aspects, make it can be better used in the actual system application.

本文在此基础上提出了一种改进算法,该算法定义了一个滤波器平衡因子的计算公式,根据此公式,适当调整滤波器平衡因子的阀值,通过控制LMS滤波器系数的冻结和恢复,很好的解决了回声的困扰;在话机状态检测算法方面,本文针对已有的忙音检测算法只能检测忙音,而不能检测拨号音、挂断音的不足之处,研究改进其算法使之能够应用到这些方面,更好的为实际系统的应用服务。

First, the character clustering algorithm regards the character as our features and then it can cluster these sentences of our target words to the correct group without any other resources. The average precision is 66.1%. Second, in the concept clustering algorithm of the aggregate computing, we use HowNet as the knowledge base of our feature words and obtain the concepts of these words. We cluster the sentences which have the same or similar concepts of the feature words into the same group. And then we can complement some lacks of the character clustering algorithm. The average precision is 72.3%. Third, regarding the concept clustering algorithm of the sememe distance, we use the sememe distance to compute its concept similarity. It improved similarity measure of the concept clustering algorithm of the aggregate computing. It achieves 81% average precision and gets better cluster quality.

词形分群演算法不受语料资源限制,能将词形相似且词义相近的词汇所属的句子分到同一群,经过人工验证,得到了66.1%的平均正确率;基於集合计算的概念分群演算法使用了知网做为撷取特徵词汇的知识库,透过知网取得词汇的概念,将具相同或相似概念的特徵词汇所属的句子分成同一群,补足词形分群演算法的不足,得到72.3%的平均正确率;基於义原距离的概念分群演算法则利用义原间的距离计算特徵概念的相似度,进一步改善了基於集合计算的概念分群演算法在相似度衡量的问题,得到81%的平均正确率,达到更好的分群效果。

Firstly, on the basis of defining the characteristics of project and reviewing the mathematical models for RCPSP, we constructed the mathematical model for RCPSP under the condition that there is non-fixed duration and splittable tasks in project; In order to solve above model, we emphatically discussed the basic principle of the swarm intelligence algorithm--the particle swarm optimization algorithm as well as improvement research for current algorithm, and then proposed a new improved particle swarm optimization algorithm and analyzed its application process in the resource-constrained project scheduling problem; Lastly, in order to confirm the validity of the model and the algorithm, we took an experiment based on 108 instances that produced by problem instance generator which was developed by our team.

首先,在对RCPSP项目特征进行界定以及对项目进度优化模型回顾的基础之上,构建了基于活动工期不固定、任务可拆分特征的RCPSP的数学模型;为了求解上述模型,本文详细阐述粒子群优化算法(Particle Swarm Optimization,PSO)的基本原理以及当前对其改进的研究成果,提出了一种新的改进PSO算法,并对其在RCPSP的应用过程进行了设计;最后,为了检验模型的有效性及算法的优越性,基于梯队内部开发的案例生成器生成的108个算例,进行了仿真试验。

Researches on kernel clustering algorithms. After combining K-means clustering algorithm and the theory of kernel-based learning algorithms, we propose a fast kernel K-means clustering method which is based on CPD kernel. The experiment results indicate that the clustering effect of the algorithm is better than that of K-means algorithm, the clustering speed of the algorithm is also fast than that of K-means algorithm.

核聚类算法的研究:探讨了K-均值聚类算法,通过将核学习理论与K-均值聚类算法结合,提出了一种基于CPD核函数的快速核K-均值聚类算法,并将该算法与基于Mercer核的核聚类算法进行了比较,实验结果显示,我们的方法不仅比K-均值聚类算法的聚类效果好,而且聚类速度快。

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The shaping method of noncircular part and the tool holder's radial motion characters in noncircular turning process are discussed in detail in the thesis.

论文详细研究了非圆零件的成型方法和加工过程中刀架的径向运动规律。

I have not really liked him,I do not like his this kind of disposition.

我没有真的喜欢他,我不喜欢他的这种性格。

As we know the price of traditional product is composed of the cost and the profit of the company involving market competition, monopolizes and many other factors.

我们知道作为传统的商品,定价的模式往往是在成本的基础上增加厂商的预计利润而形成其价格,当然也要考虑到市场竞争、垄断等其他方面的因素。