最大熵谱分析 meaning in English
maximum entropy spectral analysis
Examples
- Based on texa instrument company ' s tms320lf2407dsp microprocessor , data acquisition module , mese arithmetic module and serial communication module are embedded in the single - chip microcomputer
基于ti公司的tms320lf2407dsp芯片的硬件平台，开发了嵌入式的数据采集、最大熵谱分析以及中断方式数据通讯系统。 - In the field of application of fault diagnosis with mese , using short signal analysis technology can get characteristics vector of faults . then fuzzy reasoning and neural networks are used to construct fault diagnosis system . the fault diagnosis system analyses the characteristic vector by self - learning
在故障诊断领域的应用研究方面，将的短信号最大熵谱分析与模糊推理、神经网络技术相结合，采用模糊神经网络对最大熵谱分析得到的特征向量进行自学习的模糊推理，能够准备识别故障类型。 - In this paper , data gathered during 1957 - 1996 were used to study the climatological variability in the northern ecs , through statistical methods such as eof decomposition , correlation analysis , and maximum entropy spectrum analysis . the conclusions were drawn as follows : 1
本文利用1957 1996年东海温盐的观测资料，通过统计平均、 eof分解、相关分析、最大熵谱分析等方法，对东海北部夏、冬季温盐年际年代际变化特征及其成因进行了初步探讨，得到以下结论： 1 - In this paper , the climatic variation features and spatial and temporal distribution of the flood and drought in zhejiang province were analyzed by using 36 monthly and seasonal station data during 1961 - 1999 observed over zhejiang province , 160 rainfall and temperature data during 1951 - 1999 observed over china , northern hemisphere 500mb height data during ! 961 - 1999 , the planting and flood disasters area data in zhejiang province during 1949 - 1998 . we used many method : calculated trend coefficient of rainfall and temperature , used eof , reof , ssa ( singular spectrum analysis ) and mem ( maximum entropy spectrum ) method and synoptic method . we first studied the climatic variation features of summer and autumn and characters of the flood and drought in zhejiang
本文用1961 - 1999年浙江省36个气象观测站的降水量和气温资料、 1951 - 1999年全国160站的降水量和气温资料、 1961 - 1999年500hpa月平均高度资料和1949 - 1999年浙江省11个地市的受灾面积、成灾面积、耕地面积等资料，通过计算趋势系数、变量场eof分解、旋转eof分解、奇异谱分析和最大熵谱分析等多种统计学方法和天气学方法，研究了浙江省气候变化特点及旱涝灾害时空分布的特征。