multiple-frequency analysis 中文意思是什麼
multiple-frequency analysis
解釋
倍頻分析法-
The clues and techniques to improve the resolution of data processing are 1 ) removing the affection of near surface factors on data acquisition, including static correction and noise eliminating technique etc, 2 ) broadening the frequency band of pre - stack seismic data, including amplitude compensation and pre - stack deconvolution etc, 3 ) improving s / n ratio of high frequency and weak reflection signals through multiple coverage with high precision velocity analysis, residual static correction and high - order nmo, raising " dead line of high frequency reflection ", and 4 ) identifying post stack effective reflection frequency band, enhancing dominant frequency and so on
主要包括：消除近地表因素對資料採集的影響，包括靜校正和噪音壓制技術等；疊前拓寬地震資料領帶，包括振幅補償和疊前反褶積技術等；藉助高精度速度分析、剩餘靜校正和高次項nmo技術，通過多次覆蓋疊加，消除資料中隨機噪聲干擾、提高資料信噪比，尤其是高頻端反射信息的信噪比，改善高頻反射和弱反射信號信噪比，提高「高頻反射死亡線」 ；疊後有限反射頗帶識別、抬高優勢頻率等。 -
Then, we establish the finite element analysis models of the antenna in different structure layout, and obtain the corresponding frequencies and model shapes. finally, according to the importance of each object, we set up the model of multiple objects that aims to maximize the first natural frequency and minimize the mass. combining orthogonal experiment and variant weighting coefficient method, we formed an effective multiple objects optimized algorithm basing on the neural network and genetic algorithm
本文首先詳細的敘述了天線結構的各組成單元，闡明了天線反射拋物面的形成原理；然後在ansys軟體環境中建立了不同結構布局下天線的有限元分析模型，分析計算了各種情況下天線的的固有頻率與振型；最後依據天線各指標的重要性，建立了以一階固有頻率最大、質量最小為目標的天線結構多目標優化設計模型，並基於神經網路和遺傳演算法，結合正交實驗和變加權系數技術，形成了一種有效的多目標優化演算法，在matlab平臺下實現了天線的結構多目標優化設計計算程序，求得了天線的最佳結構參數。 -
On the analysis of the theory of instantaneous reactive power, the paper brings forward a new harmonic detection method based on multiple frequency transform. the detection theory of positive sequence harmonic and negative sequence harmonic is respectively proved in detail. the correlative concepts are defined and the simulation validates the feasibility of this method
本文在分析瞬時無功功率理論的基礎上，提出了一種基於倍頻旋轉變換的諧波測量方法，分別針對正序和負序分量，從理論上證明了該方法能分離出單個的諧波，給出了相關量的定義，最後通過模擬驗證了該方法的有效性。 -
This article takes hanging off and wide fluctuation of transmition velocity of adsl as example, then analysis centers on the discerte multiple tone and the principle of channel load assignation. from analysis above article points out the root of adsl being sensible of noise signal. at last, reserches effects that window function and barrier effect on frequency and adopts fft to work out the noise power of adsl
本文以電信現在推出的adsl傳輸中鏈路經常掉線和傳輸速率經常大范圍波動為例，重點分析了adsl所使用的dmt調制方式和注水演算法分配通道載荷方式原理，由此指出adsl對噪聲信號敏感的根源，在得到問題的根源之後，分析了窗函數和柵欄效應對頻譜的影響，採用fft方法計算adsl線路的噪聲功率譜，為adsl線路測試提供了可靠的理論依據。 -
Data were then analyzed through frequency, mean, standard deviation, one way analysis of variance, and stepwise multiple regression
所得資料以次數分配、平均數、標準差、單因子變異數分析及逐步?歸分析等方式進行統計分析。 -
Abstract : through transient spectrum analysis, we can obtain such parameters as transient central frequency, transient frequency width and transient principal frequency. these parameters indicate dynamic characteristics of real signals, benefit the study of dynamic characteristics of radar wave, and can prvide multiple parameters for integrated interpretation of the radar profile
文摘:通過瞬態譜分析，可以求得瞬時中心頻率、瞬時頻寬、瞬時主頻等參數表徵實信號動力學特徵，有利於對雷達波動力學特徵的研究，並可提供多參數對雷達剖面進行綜合解釋。 -
For fh signals, we proposed two algorithms too, one is a signal detection algorithm based multiple - hop autocorrelation ( mhac ) of fh signals, and the other is a parameter estimation algorithm based on time - frequency analysis
對跳頻（ fh ）信號，本文提出了基於多跳自相關的信號檢測方法和基於時頻分析的跳頻參數估計方法。 -
On the other hand, we give the condition of correctly solving range ambiguity and performance calculating formula of for stagger frequency difference ; condition of constraint for deciding stagger parameter value ; range " s analysis result for targets with multiple scattering centers or low altitude. this part includes chapter 2, 3, 4, 5
另外，我們還給出了參差比相測距正確解模糊的條件以及參差測距下的性能公式；提出了決定參差參數取值的約束條件；給出了多散射中心目標和低空目標的多頻連續波測距性能的結論。 -
By analysis of the reasons of why the data is not coincident, we got the following quality monitoring measures : the first is, to choose wells with low noise as receiving wells ; the second is to bring down the source sweep frequency segment ; and the third is to conduct multiple stack
通過分析，我們得出以下三點質量監控措施： （ 1 ）選擇噪聲小的井做為接收井，因為如果接收井的噪聲大於500微巴，得到的記錄基本上都是噪音記錄，要得到比較好的井間記錄，接收井的噪聲必須小於500微巴。
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