近似積分法則 的英文怎麼說
中文拼音 [jìnsìjīfēnfǎzé]
近似積分法則
英文
approximate integration rules- 近 : Ⅰ形容詞1 (空間或時間距離短) near; close 2 (接近) approaching; approximately; close to 3 (親...
- 積 : Ⅰ動詞(積累) amass; store up; accumulate Ⅱ形容詞(長時間積累下來的) long standing; long pending...
- 分 : 分Ⅰ名詞1. (成分) component 2. (職責和權利的限度) what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] (料想) judge
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 則 : Ⅰ名詞1 (規范) standard; norm; criterion 2 (規則) regulation; rule; law 3 (姓氏) a surname Ⅱ...
- 近似 : approximate; similar; approach; approximation; roughness; propinquity
- 積分 : 1. [數學] integral; integrate; integration 2. [體育] (積累的分數) accumulate points
- 法則 : rule; law
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Due to the short distance among the planes which fly in a group, the conventional low resolution radar can not distinguish them in both distance and azimuth ? if we use the technology of isar to resolve the difference among doppler frequency of the targets and obtain a fine resolution cross - cross image, we may separate them, but a long time of coherent processing is needed <, for the formation targets, it can be approximately divided to rigid body and nonrigid body, so for the formation targets, that can be regarded as rigid which has a relative position and an identical movement, can be approximately considered as a large target, and be compensated by translational phase with the rule of minimum entropy, but for the most those cannot accord with the approximation of rigid, being the doppler - frequency of the aim is linear changed, by the relax method with short data, increases the resolving performance of multiple target to the aim in the frequency domain, since cross - range resolution is based on the accumulative time, so it is greatly improve the resolution to formation targets by the instant cross - range image which produced by radon - wigner transformation
低分辨isan成像及干涉技術應用研究一因此直接無法分辨編隊目標的架數,我們借鑒isar的技術,通過較長時間的相干積累,在多普勒頻域上對目標進行分辨。而對于編隊目標,可分為近似剛性的多目標和非剛性的多目標,所以對于可以近似為剛體的編隊目標相對位置固定,運動方式一致,可以近似看作一個大目標,採用最小墑準則對平動相位的進行補償,但是大多數並不滿足剛體近似的編隊目標,由於目標在相干積累時間的多普勒頻率近似呈線性變化,通過對較短數據利用relax的時頻分析方法,提高了頻率域上目標分辨的性能。由於橫向解析度取塊于橫向積累時間,所以利用radnwigner變換得到瞬時的一維橫向距離像大大提高了對編隊目標的分辨,對模擬和實測數據的大量分析結果表明此方法的有效性和可行。The cumulative probability distribution ( cpd ) and probability density function ( pdf ) of the magnitude of signals with noise are approximated by the cumulate percentage distribution ( cpd ) and percentage density ( pcd ) respectively by sorting and discretizing. the simulation verfies the following
含噪訊號強度之累積機率分佈及機率密度特性,則依強度遞增排序法,換算成累積百分比分佈及百分比密度近似之。This feature reflects the physical phenomenon of breaking of waves and development of shock waves. in the fields of fulid dynamics, ( 0. 2. 1 ) is an approximation of small visvosity phenomenon. if viscosity ( or the diffusion term, two derivatives ) are added to ( 0. 2. 1 ), it can be researched in the classical way which say that the solutions become very smooth immediately even for coarse inital data because of the diffusion of viscosity. a natural idea ( method of regularity ) is obtained as follows : solutions of the viscous convection - diffusion pr oblem approachs to the solutions of ( 0. 2. 1 ) when the viscosity goes to zeros. another method is numerical method such as difference methods, finite element method, spectrum method or finite volume method etc. numerical solutions which is constructed from the numerical scheme approximate to the solutions of the hyperbolic con - ervation laws ( 0. 2. 1 ) as the discretation parameter goes to zero. the aim of these two methods is to construct approximate solutions and then to conside the stability of approximate so - lutions ( i, e. the upper bound of approximate solutions in the suitable norms, especally for that independent of the approximate parameters ). using the compactness framework ( such as bv compactness, l1 compactness and compensated compactness etc ) and the fact that the truncation is small, the approximate function consquence approch to a function which is exactly the solutions of ( 0. 2. 1 ) in some sense of definiton
當考慮粘性后,即在數學上反映為( 0 . 1 . 1 )中多了擴散項(二階導數項) ,即使很粗糙的初始數據,解在瞬間內變的很光滑,這由於流體的粘性擴散引起,這種對流-擴散問題可用古典的微分方程來研究。自然的想法就是當粘性趨于零時,帶粘性的對流-擴散問題的解在某意義下趨于無粘性問題( 0 . 1 . 1 )的解,這就是正則化方法。另一辦法從離散(數值)角度上研究僅有對流項的守恆律( 0 . 1 . 1 ) ,如構造它的差分格式,甚至更一般的有限體積格式,有限元及譜方法等,從這些格式構造近似解(常表現為分片多項式)來逼近原守恆律的解。
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