1) characteristics analysis of frequency
频率特征分析
1.
Therefore,characteristics analysis of frequency is an important work to be carried out in seismic data processing.
原始地震数据的频率成分受多种因素的影响,在处理过程中数据的频率成分也在发生变化,因此,频率特征分析是地震数据处理中重要的分析工作之一。
2) audio-visual features analysis
音视频特征分析
4) Audio Feature Extraction
音频特征分析
5) spectrum feature analysis
频谱特征分析
1.
Based on the response characteristics models,wavelet transform and spectrum feature analysis were done to the pretreatment logging data or signal in depth domain,then the sedimentary reservoir cycles were identified according to the spectral broadening and its rhythmic features.
依据不同旋回类型的地质特征及参数建立相应的地质模型,采用小波深频分析方法对地质模型参数进行处理,获取不同旋回类型的频谱响应特征模型,在此模型的指导下,对预处理后的测井数据(信号)在深度域进行小波变换和频谱特征分析,进而依频谱展宽及其韵律特征识别和研究沉积储层旋回。
6) probabilistic eigenvalue analysis
概率特征根分析
1.
However,wider scale of power system operating condition variation can be taken into account with the probabilistic eigenvalue analysis.
研究低频振荡的传统特征根方法是基于单一的系统运行方式,而概率特征根分析则计及了较宽的系统运行方式变化。
补充资料：频率计量(见时间频率计量)
频率计量(见时间频率计量)
frequency metrology: see time and frequency metrology
口n IQ liliang顷率频率计皿(f比quency metrolo盯) 计t。见时闰
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条