The time-frequency plane of a standard OFDM system is a rectangular grid.
标准OFDM系统设计的时-频面为矩形网格。
It stems from the concept of instantaneous frequency, and it can describe accurately the local properties of dynamic data in the time-frequency plane.
该方法源于瞬时频率的概念，它能把动态信号的局部特征正确地在时频域内予以描述。
The results of the simulation and real examples demonstrate that this new kernel function can remove the interference terms effectively and enhance the resolution of time-frequency plane.
仿真和实例分析表明：动态核函数能很好地去除交叉干扰项，提高分辨率，同时又证明了该方法的实用性和有效性。
The concept of local energy in time-frequency plane, based on local wave theory, is defined. Then a new feature extraction method based on the local energy in time-frequency plane is given.
在局域波理论的基础上，引入了时频局部能量的概念，进而提出了一种基于时频局部能量的特征提取方法。
This method is able to estimate precisely the initial Doppler frequency and the Doppler centroid, and to distinguish between multiple targets lying in the same line in the time-frequency plane.
该方法能够以较高精度估计目标的多普勒起始频率和中心频率，并能分辨在时频平面位于同一直线的多个目标。
"Modulation domain" is a plane domain which is consisted of frequency and time signal axes.
“调制域”是由信号的频率和时间两个轴构成的平面域。
Modulation Domain and Pulse Analyzer(MDPA) analyzes signal using a plane domain which is consisted of frequency and time.
调制域及脉冲分析仪利用时间和频率构成的平面域对信号进行分析。
The L F signals are transformed by entropy based on wavelet packet algorithms for best basis selection, and the results are displayed in time- frequency space namely phase plane.
该方法采用基于熵的小波包最佳基选取准则，对局部损伤信号进行自适应小波包分解，将分解结果显示于时—频空间即相平面上。
The methods of time frequency analysis include linear, quadratic and adaptive methods. They provide effective tools for analyzing signal time varying spectrum in time frequency plane.
时频分析方法分为线性、二次型和自适应等多种方法，它们提供了在时频二维平面上，分析信号时变功率谱的有效手段。
By using the plane wave expansion and finite-different time-domain (FDTD) methods, we can find a larger absolute band gap in the low and high frequency.
通过运用平面波展开方法以及有限差分时域(FDTD)方法进行分析，可以明显地发现，在低频和高频区域增大了光子晶体的光子禁带。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, a wavelet-based de-noise method is presented for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性，基于小波变换的去噪方法，可以达到从单次样本中提取视觉诱发电位的目的。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, we present a wavelet-based denoising method for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性，本文提出了一种基于小波变换的去噪方法，以期达到从单次样本中提取视觉诱发电位的目的。
Due to the good localization feature of the wavelet transform both in time plane and in frequency plane, we present a wavelet-based denoising method for extracting EPs in single trails.
由于小波变换在时域和频域上都具有良好的局部化特性，本文提出了一种基于小波变换的去噪方法，以期达到从单次样本中提取视觉诱发电位的目的。
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