flutter vi. 1.拍翅振翼;(旗帜)飘扬。 2.颤动,(心)急跳,(脉搏)浮动。 3.(心绪)不宁,坐立不安。 4.〔口语〕对人进行测谎。 He fluttered about the room nervously. 他心绪不宁地在房间里徘回。 vt. 1.振(翼);拍(翅)。 2.扰乱;使不安。 n. 1.振翼;飘扬。 2.不安,焦急,波动。 3.(身体部分的)病态阵跳。 4.〔英俚〕投机,小赌。 5.颤振。 6.图像跳动,脉冲干扰,放音失真。 7.对…进行测谎。 the flutter of wings 翅膀的拍动。 all in a flutter 心慌意乱。 cause [make] a great flutter 轰动一时。 fall into a flutter 心慌意乱。 in a flutter 心里卜卜跳。 put sb. in [into] a flutter = throw sb. into a flutter 使忐忑不安。 n. -er ,-ingly adv.
In this paper , according to the characters and processing requirements of flutter test data , based on the general theory of wavelet analysis , a set of laplace wavelets are introduced 本文根据颤振试验信号的基本特征和处理要求,在对小波一般理论研究的基础上,引入了一种适用于颤振试验信号处理( ftdp )的小波? ? laplace小波。
Turbulence response . the functions of the methods are investigated by computer simulation and further examined by using flutter testing data of low - speed wind - turne of some aeroelastical modes . the related software is developed on matlab and labview for windows 结果表明,本文方法在精度、有效性和数值特性等方面优于现有的时频域滤波方法,并具有较好的应用特性,可以满足工程应用的实际需求。
Simultaneously , a new fbp criterion is presented based on the gray - lavel and contour for the image of gabor spectrogram and the relation parameter is used to make flutter boundary prediction . the functions of the method are studied by computer simulation and further examined by using several flutter testing data ( low - speed wind - tunnel , high - speed wind tunnel and flight ) 本文详细研究了颤振信号联合时频谱图的特征,应用图像边缘识别方法对颤振信号时频谱图的轮廓、灰度进行了综合分析,给出了一种全新的颤振余量定标量化法,依此量化值完成对颤振边界的外推。
The theory analysis and method principle are presented the characteristics of the two methods are studied by computer numerical simulation . the results show that both the methods are reasonable and feasible . focused on the features and requirements of flutter test data processing , the methods presented here are used to pickup the major information as a pre - processing technique the application scheme is brought out for flutter boundary prediction based on subcritica 根据颤振试验的原理和观测信号特点,本文将所提出的两种时频域滤波算法引入到了飞机结构亚临界响应分析的颤振边界预测( fbp )研究当中,给出了一种新的颤振边界预测方案,即通过联合时频分析与时频域滤波提取有效信号再进行模态参数提取与颤振边界预测。
Focused on the nonstationary features and analysis requirements of flutter test data , the application scheme is brought forward for flutter signal processing . by using computer simulation and flutter test of low - speed wind - tunnel of some aeroelastical modes , the characteristics of the scheme are investigated 本文基于颤振试验信号的非平稳特点与分析需求,应用自适应时频分析技术给出并实现了两种新的颤振信号处理方案,重点研究了适用于连续变速颤振试验的颤振边界预测问题。