用平均平滑周期图法分别估算出信号与噪声的功率谱密度函数。
The power spectrum of the noise and signal are estimated by the average smooth periodogram method.
数据经遗传统计学处理,估算出体成分及无氧功率的对内相关系数和遗传度。
Inner correlation coefficient and heritability of body composition and anaerobic power were estimated by heredity statistics.
本文提出用最小p乘优化方法从响应功率谱估算结构的动力参数。
A least Pth optimization method is developed for estimation of structural dynamic parameters from estimated response spectrum power density function.
推导了无线电波传输路径上各点经纬度及高度坐标等参数,并在此基础上进行了波束覆盖区功率密度的估算。
On the basis of the previous work, the authors make an estimation about power density within the beam covered area.
精确估算昼夜飞行太阳能飞机的可用功率是太阳能飞机设计中的重要问题之一。
Available power plays an important role in the design of a solar powered aircraft which is capable of continuous flight.
利用关口电度表数据库提供的便利条件,对等效功率法进行了改进,并将其用于对输电网线损的快速估算。
Using the database system of key point meters, the method of equivalent power is amended and used for the fast computation of transmit electricity line-loss.
伯格(1967)提出的最大熵谱分析方法是一种改进的功率谱估算方法,它可以有效地提高功率谱的分辨率。
P. Burg in 1967 is an improved method for estimating power spectrum, which can effectively improve the resolution of a power spectrum.
实践证明,在一定功率密度范围内,估算值较好地符合了实验测定数据。
Experiment shows that measured data in certain power density range accord well with the calculations.
一般估算辐照功率时常忽略目标的随机运动。
The random motion is usually neglected when evaluating the laser irradiation power.
提出基于量化噪声功率谱的信噪比(SNR)估算方法。
Offering SNR estimation method based on the quantization noise power spectrum.
通过此公式对反射式全息图的衍射率估算,可有效地提高制作高衍射率反射式全息图的成功率。
The formula can be used to measure the diffraction efficiency of reflection hologram and offer a strong means for studying the diffraction efficiency of reflection hologram.
从理论上估算了此种结构和传统的封离式结构中一定注入电功率下工作气体的最高温度,指出了降低该温度的途径。
The estimation for the maximums of the gas temperatures in this tube and traditional sealed discharge tube is given. And a way to lower these temperatures is discussed.
结果表明,通过人工神经网络估算刀磨损值与实测值基本一致,系统取得了90%的刀具磨损识别成功率。
The results from the system are largely consistent with the recorded data by instruments. This system suggests that its reliablity be up to 90 percent.
结果表明,通过人工神经网络估算刀磨损值与实测值基本一致,系统取得了90%的刀具磨损识别成功率。
The results from the system are largely consistent with the recorded data by instruments. This system suggests that its reliablity be up to 90 percent.
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