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1)  spectral frequency
谱频率
2)  vibrating frequency spectrum
频率谱图
3)  frequency spectrum
频率谱
1.
Internal friction (IF) frequency spectra of polycrystalline copper, nano-structured copper and single crystal copper specimens were measured by an internal friction frequency spectrum apparatus.
用内耗频率谱仪测量了多晶铜、纳米晶铜和单晶铜试样的内耗频率谱,在170,320以及490 Hz附近观测到3个明 显的共振吸收频率峰。
2.
Based on frequency spectrum and characteristic frequency analytic technique,measurement of vibration parameter of a water pump is carried out.
基于频率谱及特征频率分析技术,对某型水泵各测点进行振动参数的测量,根据TAM保养协会标准并结合实测数据,评定其健康状况的等级,并通过原因分析,制定改善的措施。
3.
The measured results of frequency spectrum are compared with those calculated by sequency spectral method under different water depths and slope bottoms.
为研究变浅作用下的非线性海浪,本文利用并矢相关谱估计方法,设计并进行了多种强度下,由深水传入近岸浪变浅作用下,列率谱和频率谱随水深和坡度变化的实验比较研究。
4)  spectral efficiency
频谱效率
1.
Effects of rolloff factor on resistance to time delay spread and spectral efficiency of adaptive QAM;
滚降系数对自适应QAM的抗时延扩展性能和频谱效率的影响
2.
Asymptotic spectral efficiency of the multicarrier code division multiple access;
多载波码分多址的渐进频谱效率
3.
Improvement in spectral efficiency of multiwavelength optical CDMA network;
多波长OCDMA系统频谱效率的改善
5)  line spectrum frequency
线谱频率
1.
To reduce the computational complexity and storage of the line spectrum frequency(LSF) parameters quantizer a predictive multi-stage split vector quantizer is designed to quantize LSF parameters by using the correlation of LSF parameters between frames and inter frames.
为了降低线谱频率(LSF)参数矢量量化器的搜索复杂度和码字存储单元,利用LSF参数的帧内和帧间相关性,设计了一种LSF参数的预测式多级分裂矢量量化器。
6)  LSF
线谱频率
1.
By analyzing a corpus of Hanyu Putonghua speech data, the LSF, pitch and other coding parameters are compared by adopting the Gaussian mixture model (GMM), the corresponding conclusions are drawn.
为研究自适应多速率(AMR)算法应用于汉语语音和英语语音所产生的差异,针对AMR语音编码算法的特点,在分析了大量汉语语音数据的基础上,对算法中的线谱频率(LSF)、基音周期等关键编码参数采用高斯混合模型(GMM)进行了比较并给出相应结论。
2.
By analyzing a lot of Mandarin speech data, the LSF, pitch and other coding parameters are compared and the corresponding conclusion is drawn.
为研究AMR算法应用于汉语语音和英语语音所产生的差异 ,本文针对AMR语音编码算法的特点 ,在处理分析了大量汉语语音数据的基础上 ,对算法中的线谱频率 (LSF)、基音周期等关键编码参数进行了比较并给出相应结论。
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。
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