用加窗的DFT方法，从正弦波的DFT主瓣的幅度来计算正弦波的均方根值(RMS)，最好使用最小能量窗。
It's better to select the minimum energy window to calculate RMS of sine wave by using the window DFT on the basis of the amplitude of sine wave DFT main lobe.
利用智能窗可以按照需要调节进入室内的能量，它能根据室内温度自动调节对太阳光能的透过率。
It can adjust the energy that come into the room by automatically changing the transmittance to energy of sun.
分析之前，语音样本经过频域预加权和时域汉明窗加权处理，并利用帧能量门限自动去除了样本中的寂静段。
Before analyzed, Speech data are weighted by Hamming function and pre emphasized, silence segments are detected and discarded by computer automatically based on the frame energy threshold.
结果表明，W - O方法得到的信号频谱比传统加窗具有更少的旁瓣干扰和更高的主瓣-第一旁瓣能量比。
Result indicates that the spectrum gained from using W-O way comprises much fewer side lobes and achieves higher energy ratio of main lobes to the first side lobe.
这个系统将最大熵谱分析方法应用于在线监测分析中，解决了传统在线分析方法的窗函数和能量泄漏等问题，提高了分析过程的故障识别率。
The system solves the problems of the traditional on line analysis method, such as the window function and energy leak, and promote fault recognition rate.
然后对时窗内的波形作快速傅立叶变换，在频域内求地层波能量。
Then the waveforms in the window are performed with FFT and the formation wave energy is calculated in frequency domain.
窗函数的主辨与旁辨的振幅比和最大能量比都是窗函数的重要性能指标。
The amplitude ratio of the mainlobe to sidelobe of window function is an important index and so is the maximal energy ratio.
在 家中，有如屏风般的摆饰，可放于窗边吸收大自然提供的能量，藉由太阳能的转换来储蓄电力，可以降低地球资源的消耗。
For example, the screen is able to not only absorb sunlight and convert it into solar energy, but also reduce the consumption of nature source.
提出了利用波形长短时窗能量比值与波形信号能量包络的平方乘积检测横波初至的新方法。
A new technique for picking the first S-Wave arrival is presented by multiplying energy ratio of the long window to the short window by the square of the amplitude envelope of waveforms in the paper.
对相关函数进行时域滤波，挑选出互相关函数中窄信号自相关函数部分，去掉剩余的大部分噪声能量，得到加窗互相关函数（CCF）。
The time-domain filter can then be used to select the narrow central portion of the cross correlation function (CCF), capturing virtually all of the signal but rejecting most of the noise.
对相关函数进行时域滤波，挑选出互相关函数中窄信号自相关函数部分，去掉剩余的大部分噪声能量，得到加窗互相关函数（CCF）。
The time-domain filter can then be used to select the narrow central portion of the cross correlation function (CCF), capturing virtually all of the signal but rejecting most of the noise.
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