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Chinese translation for "spacing frequency"

间隔频率
Example Sentences:
1.Iterative decoding of space frequency block code ofdm systems
系统迭代解码算法
2.Experimental results indicate that the method here has great improvement on the noise performance and frequency resolution and can detect effectively sinusoidals that have close - spaced frequencies
仿真实验表明,本文方法具有较好的噪声稳定性和较高的频域分辨能力,能准确地检测出频率非常接近的正弦信号,具有较好的估计性能。
3.The structure of the testing platform is described , and the experiment content and principles are given in detail . the transmission error curves and space frequency curves are emulated . the circuits of rotor part and software are finished
本文介绍了实验台的整体结构,实验内容的设置和各实验的工作原理,模拟了传动误差曲线及其空域频谱图,详细阐述了转子测量的电路设计、下位机程序设计和上位机的软件设计。
4.The experiment results show that there are optimal defocus distance and exposure for the given system and recording material , and to obtain the best snr different reference - to - object beam ratios are also needed for black - white digital images of different space frequencies
实验结果表明,对于给定的系统及记录介质存在一定的最佳离焦量和曝光量,而对于不同空间频率的黑白二值条纹图像还需要采用不同参?物光比以最终获得最佳的信噪比。
5.2 ) the concept of space frequency distribution is introduced into reevaluation of incoherently distributed source model . based on the model , two low - complexity robust bearing estimators are developed . it is proved theoretically that their estimates are asymptotically unbiased and consistent
2 )从空间频率分布的角度重新评价了非相干分布源模型,提出了两种低计算复杂度的稳健的分布源波达方向估计器,并从理论上证明了它们的渐近无偏性和渐近一致性。
6.Using the feature : there exists distinct edge contour between the characters and the background in color image , we give a color image text extraction algorithm - tea ( text extraction algorithm ) , which makes the use of cedo to process edge detection of color image , then , adopts morphologic dilation technology to form region image , and combines the area - growth algorithm to mark the candidate text blocks , finally , determinates the correct text block by analyzing the density of text block and the space frequency feature
利用彩色图像文本区域与背景之间存在明显边缘轮廓的特点,本文给出了彩色图像文本提取算法? tea ( textextractionalgorithm ) 。该算法首先利用cedo进行彩色图像边缘检测,然后采用形态学膨胀技术生成区域图像,并结合区域生长算法标记候选文本块,最后通过分析文本块密度和空间频率特性来判定真正的文本块,从而较好地完成了彩色图像的文本提取。
7.The algorithm , basing on convolution filtering technique and the fringes " gray values max - min distribution , can automatically and accurately carry out space frequency spectra shifting without spectra analysis and spectrogram in the technique of phase method of projected grating for 3 - d object shapes measurement . the new algorithm makes image processing much caster and the technique of object shapes measurement more automated . the phase error caused by filtering and the crossed - optical - axes geometry setup is also discussed
本文采用投影光棚相位法和数字卷积滤波技术:根据栅线的条纹灰度值分布具有极大极小分布的特性,提出卷积滤波形貌光学自动检测的图像处理方法,有效地实现了频谱自动移位,从而进一步提高了图像处理的速度和形貌测量技术的自动化程度;同时对采用两光学主轴相交,且非远心投影系统所产生的误差进行了分析,并提出了修正方法。
8.Besed on wavelet " s well localized characterizes in time frequency and space frequency , we can exactly depict events of nonnoise by decomposing to signal using binary - wavelet transform . for events of noise , local max can be found at singular points of signal by using wavelet transform norm of signal , so adopting multiscale wavelet analysis the maximal point of wavelet transform norm , which risen by the noise , with increasing of scale , which rien by the fault appeared . gived a properly threshold and compared the relation of data that have been transformed not only find the fault in the low noise signal but also resume the signal by filtering noise , which have good power of examining singular signal being unexpectedly change
对于噪声中的事件点,利用信号的小波变换的模在信号的突变点取得局部最大值,采用多尺度(多分辨)小波分析,则随着尺度的增大,噪声引起的小波变换模的极大值点迅速减少,而故障引起的小波变换模的极大值点得以显露,我们给出一个适当的阀值,比较阀值和变换后数据的关系,不但可以在低信噪比的信号中监测到故障信号,而且可以滤去噪声恢复原信号,对突变的奇异性信号具有良好的监测能力,能够有效地找出噪声中的事件点。
9.The innovations of this thesis are as the follows : 1 ) it is analyzed that the lower - order jacobi - anger expansion model for an incoherently distributed source has better accuracy performance than some other approximate source models such as space frequency model , two - point source model , and low - rank approximate model . using the parametric decoupling property of the ja - based model , a novel angular parameter estimator is proposed , which is very robust in case of large angular spreading
本文从这三个方面开展了空间分布源波达方向估计研究,创新点包括: 1 )分析了低阶jacobi - anger级数展开近似模型的误差性能;利用该近似模型的参数解耦特性,提出了一种新的波达方向估计器,在大角度扩展条件下,该估计器表现非常稳健。
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