本文根据历史地震资料按最大熵谱方法对全球及全球各地震区强震活动的时间序列进行了分析。
Based on the historical seismic data, we have analysed the time sequence of the global and regional strong earthquake activities by using the maximum entropy spectrum method.
本文应用现代谱估计方法——最大熵谱估计分析了双联叶片泵供油系统的压力波动，指出了产生压力波动的原因。
This paper deals with the pressure ripple of the double vane pump using modern spectrum analysis—maximum entropy spectral estimation and indicates the causes of pressure ripple.
对流域历年平均降水量序列最大熵谱分析表明存在3.6年的显著周期和5.7年的次周期。
Spectrum Analysis and Maximum Entropy Spectrum Analysis of precipitation show 3.6, 5.7 years period and the evaporation has no significant period.
用最大熵方法对1956—1977年逐日500毫巴亚洲环流指数分别按年和季进行了谱分析。
The maximum entropy method (MEM) is used to analyse the 500mb daily circulation index over Asia during 1956-1977.
本文采用最大熵法来分析这些不确定性对射弹弹道的影响。
Utilizing maximum entropy method, the influence of uncertainty to projectile trajectory was analyzed.
最大熵谱分析方法是一种非线性的新的谱分析方法。
The maximum entropy spectral estimation is a new nonlinear method of spectral analysis.
最大熵谱分析方法具有分辨率高、灵敏度和稳定性好等优点。
Maximum entropy spectral analysis has the merits of high resolution and sensibility as well as stability.
实验结果说明最大熵模型应用于汉语问句语义组块分析具有较好的效果。
The experiment results show that the maximum entropy model has a very good effect on semantic chunk parsing to Chinese question sentence.
最大熵谱估计法是一种具有很高分辨率，并特别适合短时序列分析的现代谱分析方法。
Maximum entropy spectral analysis method (MEM) is a widely used modern spectral analysis method, which characterizes high resolution and fits for short time sequence especially.
采用最大熵值法减少风速时程分析在时频域上的信息损失并提高效率。
The maximum entropy method is adopted to reduce the information loss and improve computational efficiency.
与其它谱分析方法(如傅立叶谱和周期图法)比较，最大熵谱分析方法具有不受取样长度限制、对频谱分辨率较高等优点。
Compared with other spectra analysis, such as Fourier entropy and periodic picture, this method has many advantages such as no limit to sampling length and higher resolution to the spectra.
在第五章中，我们提出了一种基于最大熵的多模态视频分析技术。
In Chapter 5, we propose a novel algorithm for multi-modal video analysis based on the Maximum Entropy model.
伯格（1967）提出的最大熵谱分析方法是一种改进的功率谱估算方法，它可以有效地提高功率谱的分辨率。
P. Burg in 1967 is an improved method for estimating power spectrum, which can effectively improve the resolution of a power spectrum.
该文研究了松拉金成组叶片瞬态动力分析及最大熵谱分析问题。
The paper studies transient dynamic analysis and maximum entropy spectrum analysis method for a loose lashing wire grouped blade.
与传统功率谱估计、最大熵谱估计结果的对比表明，多窗谱分析方法方法得到的谱估计分辨力高，稳定性强。
Compared to the Black-Tukey method and Maximum entropy method, the spectral estimations based on MTM are of high resolution and strong stability.
第二个是采用现代谱估计技术（最大熵法，最小交叉熵法）分别对雷达发射信号脉内及脉间的起伏特性进行分析。
The second is that the fluctuation spectra of intrapulse and pulse-to-pulse are estimated respectively with modern spectra estimation approaches(maximum entropy and minimum cross—entropy).
这个系统将最大熵谱分析方法应用于在线监测分析中，解决了传统在线分析方法的窗函数和能量泄漏等问题，提高了分析过程的故障识别率。
The system solves the problems of the traditional on line analysis method, such as the window function and energy leak, and promote fault recognition rate.
本文简要介绍最大熵谱分析法的理论和算法。
This paper gives a brief description of the theory and algorithms of maximum entropy method of spectral analysis.
并运用区位熵法对9个最大城市的部门结构进行了初步分析，揭示了其中存在的一些问题，最后运用统计分析方法对各城市主导产业进行了分级。
Then with position quotient law, each department structure of 9 biggest cities has been carried out preliminary analysis, and has been revealed some existent problems.
采用最大熵模型实现中文组块分析的任务。
This paper proposes to use Maximum Entropy (ME) model to conduct Chinese chunk parsing.
仿真分析表明，最大熵谱估计和LMS自适应算法相结合可以有效地从背景噪声中提取有用的激光反射回波信号。
Simluation results show that the maximum entropy spectral estimation and LMS adaptive algorithm can extract echo signal of laser ranging system effectively from background noises.
为提高计算机对汉语信息的处理能力，更好地进行浅层句法分析，提出一种基于最大熵的汉语短语结构识别方法。
To improve the computer's processing capacity on Chinese information, and do better shallow parsing, this paper presents a recognition method of Chinese phrase structure based on Maximum Entropy(ME).
为提高计算机对汉语信息的处理能力，更好地进行浅层句法分析，提出一种基于最大熵的汉语短语结构识别方法。
To improve the computer's processing capacity on Chinese information, and do better shallow parsing, this paper presents a recognition method of Chinese phrase structure based on Maximum Entropy(ME).
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