flutter vi. 1.拍翅振翼;(旗幟)飄揚。 2.顫動,(心)急跳,(脈搏)浮動。 3.(心緒)不寧,坐立不安。 4.〔口語〕對人進行測謊。 He fluttered about the room nervously. 他心緒不寧地在房間里徘回。 vt. 1.振(翼);拍(翅)。 2.擾亂;使不安。 n. 1.振翼;飄揚。 2.不安,焦急,波動。 3.(身體部分的)病態陣跳。 4.〔英俚〕投機,小賭。 5.顫振。 6.圖像跳動,脈沖干擾,放音失真。 7.對…進行測謊。 the flutter of wings 翅膀的拍動。 all in a flutter 心慌意亂。 cause [make] a great flutter 轟動一時。 fall into a flutter 心慌意亂。 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 本文根據顫振試驗信號的基本特征和處理要求,在對小波一般理論研究的基礎上,引入了一種適用于顫振試驗信號處理( 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 結果表明,本文方法在精度、有效性和數值特性等方面優于現有的時頻域濾波方法,并具有較好的應用特性,可以滿足工程應用的實際需求。
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 ) 本文詳細研究了顫振信號聯合時頻譜圖的特征,應用圖像邊緣識別方法對顫振信號時頻譜圖的輪廓、灰度進行了綜合分析,給出了一種全新的顫振余量定標量化法,依此量化值完成對顫振邊界的外推。
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 根據顫振試驗的原理和觀測信號特點,本文將所提出的兩種時頻域濾波算法引入到了飛機結構亞臨界響應分析的顫振邊界預測( fbp )研究當中,給出了一種新的顫振邊界預測方案,即通過聯合時頻分析與時頻域濾波提取有效信號再進行模態參數提取與顫振邊界預測。
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 本文基于顫振試驗信號的非平穩特點與分析需求,應用自適應時頻分析技術給出并實現了兩種新的顫振信號處理方案,重點研究了適用于連續變速顫振試驗的顫振邊界預測問題。