本文根据多时间尺度分析与子带方法，提出了一种多时间尺度复合子带的噪声环境下语音识别新方法。
We present a new method for noisy speech recognition, which combines multiple timescale analysis with sub band method.
为了提高分析精度，我们在很低的以年度为时间尺度的规模上进行了一系列的相关分析。
To refine the analysis, a series of correlation analyses were carried out at the much lower scale of an annual level timeframe.
基于EMD时间尺度滤波特性，在引入相关度分析的基础上提出了EMD相关度去噪方法。
Based on the idea of the correlation degree and the EMD (Empirical Mode Decompositon) time scale filtering, the EMD de-noising method based on the correlation degree is proposed.
通过对不同时间尺度下气候变化和人类活动对塔里木盆地绿洲形成与演化的影响分析。
The impacts of climate change and human activity on formation and evolution of oasis in Tarim Basin in different time scales were analyzed.
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。
Power system stability analysis is extremely complex due to its multi time scale nature, high dimensionality and non linearity.
子波分析的结果证实这次转变的时间尺度在20年以上。
Wavelet analysis reveals that the temporal scale of this change is larger than 20 years.
利用线性分析方法，分析濮阳多时间尺度气温的变化特征及气候趋暖对粮食生产的影响。
The characteristics of multi-timescale temperature change in Puyang, Henan Province and its effects on grain production caused by the warming-up climate are analyzed.
提出高功率电磁脉冲作用下MESFET热效应分析的时间尺度统一算法。
We propose a unified time scale algorithm for thermal effect of MESFET under irradiation of high power electromagnetic pulses.
采用覆盖空间尺度和时间尺度的实测资料进行反演分析，其参数结果能更全面的反映坝体材料特性。
The parameters results can reflect the material qualities full well, by adopting monitoring data at different Spaces and time.
由于电力系统是一个多时间尺度的高阶非线性系统，其稳定性分析就变得异常复杂。
Power system stability analysis is extremely complex due to its multi-time scale nature, high dimensionality and non-linearity.
在此基础上对低温冷害指数进行经验正交分解和小波分析，得到其时空变化规律及多时间尺度特征。
By experience orthogonal function analysis and wavelet analysis on chilling damage indices, it showed spatial-temporal variation in the regulation and multiple-time-scale characteristics.
在对华北地区降水100年资料的分析过程中，运用不同的时间尺度分别得到6 ~7年、21 ~ 22年和35 ~36年的时间周期规律。
From the 100 years data, approximate 6-7 years, 21-22 years and 35-36 years periods are found respectively.
分析结果表明，洪涝灾害系统的变化具有分形特征，农田成灾面积时间序列的平均可预测时间尺度为8～9年；
The results indicate that flood disaster systems have fractal characteristics, average time-scale of forecasting inundated area of cropland is 8~9 year.
分析结果表明，洪涝灾害系统的变化具有分形特征，农田成灾面积时间序列的平均可预测时间尺度为8～9年；
The results indicate that flood disaster systems have fractal characteristics, average time-scale of forecasting inundated area of cropland is 8~9 year.
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