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多时间尺度     
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  multiple time scale
     Model for Speech Recognition Based on Multiple Time Scale Features
     基于多时间尺度特征的语音识别模型
短句来源
     APPLICATION OF WAVELET TRANSFORMATION TO ANALYSIS OF MULTIPLE TIME SCALE CLIMATE CHANGE
     子波变换在全球气候多时间尺度变化分析中的应用
短句来源
     FEATURES OF THE EAST ASIAN WINTER MONSOON INTENSITY ON MULTIPLE TIME SCALE IN RECENT 40 YEARS AND THEIR RELATION TO CLIMATE
     近40年东亚冬季风强度的多时间尺度变化特征及其与气候的关系
短句来源
     A New Method for Noisy Speech Recognition Based on Multiple Timescale and Hybrid Sub Band
     基于多时间尺度复合子带噪声语音识别新方法
短句来源
     In the context of wavelet transformation,revealed is the multiple time scale structure of the monthly precipitation anomaly in Henan Province.
     用小波变换方法分析了河南省近 5 0年来月降水量距平序列的多时间尺度结构 ,对河南省旱、涝的时频变化特征进行了初步研究。
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  multiple time scales
     s: The study of the grain output changes is mainly based on the single scale before, and few is on the multiple time scales.
     粮食产量变化关系到国家和地区的粮食安全问题。 以往对粮食产量变化的研究多集中在单时间尺度上 ,对多时间尺度的研究很少。
短句来源
     Based on Morlet wavelet transform ,the multiple time scales feature of flood season daily maximum flow series at Yichang gauging station have been analyzed in the base of 120 years(1882-2001) daily real data of water discharge.
     以宜昌站120年(1882—2001年)实测日流量资料为基础,利用Morlet小波变换对其汛期日最大流量过程进行多时间尺度变化特性分析.
短句来源
     Based on Marr wavelet and Morlet wavelet transform, the multiple time scales and jump features of 100 years annual average runoff at Yichang station of Yangtse River have been analyzed.
     以长江宜昌站近 10 0年 (1890~ 1987)年平均流量过程为例 ,利用Marr小波和Morlet小波变换对水文序列的多时间尺度演变特性进行了分析。
短句来源
     The wavelet analysis has been used to analyze the grain output in Jiangsu province after the founding of our People's Republic at multiple time scales.
     该文以小波诊断技术为基础,对建国以来江苏省粮食产量变化进行了多时间尺度的分析。
短句来源
     So the wavelet analysis has been used to analyze the grain output in Jiangsu Province during the Last 50 years at multiple time scales.
     以小波诊断技术为基础 ,对近 5 0年江苏省粮食产量变化进行了多时间尺度的分析。
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  multi-time scale
     Multi-time scale adaptive regulation model of a river basin water allocation
     多时间尺度自适应流域水量调控模型
短句来源
     Based on time series of annual average temperature of Xining City from 1954 to 2001, changes in multi-time scale and jump characteristics of temperature time series have probed with Morlet wavelet transform.
     利用Morlet小波分析了1954 ̄2001年西宁市年平均气温距平时间序列的小波变化特征,揭示了气温变化的多时间尺度结构,分析了其中存在的主要周期振荡和突变点,并与功率谱分析结果进行比较。
短句来源
     The conventional meteorological data from 1961 to 2003 are used to analyze the multi-time scale variability of fog and haze visibility in Shanweil City.
     根据汕尾气象台1961~2003年共43 a的常规气象观测资料,对汕尾市雾霾天气的能见度多时间尺度特征进行了分析。
短句来源
     The results show that the correlations between E1 Nino and the temperature and precipitation in Heilongjiang Province have multi-time scale characteristics;
     结果表明,厄尔尼诺事件与黑龙江省气温和降水之间的相关具有多时间尺度的特征;
短句来源
     An Analysis of Multi-time Scale Variability of Fog and Haze Visibility in Shanwei City
     汕尾市雾霾天气的能见度多时间尺度特征分析
短句来源
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  multi time scale
     But for a multi time scale power system, existence and fundamental characteristics of fast manifolds must also be studied in order to obtain the model reduction condition of fixing slow dynamics.
     但对于多时间尺度的电力系统模型降阶问题而言 ,还必须研究快流形的存在性及其基本特征 ,以给出固定系统慢动态的降阶条件。
短句来源
     The wavelet transform has the advantage of probing the multi time scale of hydrology and water resources time series.
     小波变换法分析水文水资源系统多时间尺度是优越的。
短句来源
     Power system stability analysis is extremely complex due to its multi time scale nature, high dimensionality and non linearity.
     电力系统是一个多时间尺度的大规模非线性系统 ,其稳定性分析非常复杂。
短句来源
     MULTI TIME SCALE CHARACTERISTICS OF CORRELATION BETWEEN CHONGQING RAINFALL AND EQUATORIAL EASTERN PACIFIC SST
     重庆降水和赤道东太平洋海温相关的多时间尺度特征
短句来源
     Data of tropical storms and severe tropical storms and typhoons making landfall on China from 1890 to 1999 were used. With the technique of wavelet analysis, multi time scale features and links between the typhoon and ENSO were discussed.
     利用 18 90~ 1999年登陆于我国的台风资料 (指热带风暴、强热带风暴及台风 ) ,主要采用小波分析方法研究华南登陆台风多时间尺度特征 ,并探讨台风与 ENSO事件的关系。
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  multiple time scale
On the Lagrangian residual current and residual transport in a multiple time scale system of shallow seas
      
A multiple time scale perturbation method is used to discuss the Lagrangian residual current and residual transport on the basis of a weakly nonlinear dynamic model of shallow seas.
      
The multiple time scale variation of current is caused by tides, winds, and the thermohaline and the nonlinear effects of the system.
      
The derived set of governing field equations of the Lagrangian current for this multiple time scale system is also in the same form as that for a single time scale system.
      
The multiple time scale method is applied to find an equation for the dominant term in the expansion of the electron distribution function in terms of ε.
      
更多          
  multiple time scales
On Simulating Flows with Multiple Time Scales Using a Method of Averages
      
We present a new method, based on averaging, to simulate certain systems with multiple time scales efficiently and demonstrate its utility in the context of the shallow-water equations.
      
Species concentrations in homogeneous well-stirred reacting (WSR) systems with multiple time scales mostly access only a small portion (slow manifold) of the permitted composition space.
      
Estimates for the multiple time scales in KPM are also given.
      
The great majority of the world's music is metrical, i.e., has periodic structure at multiple time scales.
      
更多          
  multi-time scale
Multi-time scale zero-sum differential games with perfect state measurements
      
We carry out a nonlinear multi-time scale perturbation procedure to study the evolution of the resulting spatio-temporal patterns.
      
Multi-time scale simulation for impact systems: from wave propagation to rigid-body motion
      
In this study, we develop a universal model, Multi-time scale N-species model, to study and compare the responses of metapopulation dynamics to both kinds of habitat destruction.
      
Our reported results include the following: (1) Synchronization of spike-burst activity is a multi-time scale phenomenon and burst synchrony is easier to achieve than spike synchrony.
      
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