頻率抽取演算法 的英文怎麼說

中文拼音 [bīnlǜchōuqǔyǎnsuànfǎ]
頻率抽取演算法 英文
decimation in frequency algorithm
  • 頻 : Ⅰ形容詞（次數多） frequent Ⅱ副詞（屢次） frequently; repeatedly Ⅲ名詞1 [物理學] （物體每秒鐘振動...
  • 率 : 率名詞（比值） rate; ratio; proportion
  • 抽 : 動詞1 （把夾在中間的東西拉出; 提取） take out （from in between） 2 （從全部里取出一部分; 騰出） ...
  • 取 : Ⅰ動詞1 （拿到身邊） take; get; fetch 2 （得到; 招致） aim at; seek 3 （採取; 選取） adopt; assume...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 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...
  • 頻率 : frequency; rate
  • 抽取 : abstract
  1. 2. a frequency extrapolation scheme is developed to effectively predict radar cross section using floating genetic algorithm based on the geometrical theory of diffraction ( gtd ) model. the threshold discrete fourier transform ( tdft ) is introduced for the data compression in angle domain

    在目標散射中心建模方面，我們將浮點型遺傳演算法（ fga ）應用於實際人工目標的gtd模型參數的抽取，利用所抽取的模型參數完成了雷達散射截面rcs的頻率擴展以及數據壓縮，並利用擴展的數據提高了距離解析度。
  2. First, how to conduct sample and quantification of continuous time signal which is prior condition of sdr is explored in detail, and the comparison and analysis of some sample modes are given in which band pass signal sampling theorem is most important. second, multi - sample rate signal processing which is an important basis of sdr is studied. emphasis are put on decimation and interpolation those are the most fundamental process and the realization of decimation and interpolation filter

    在基於中頻采樣的軟體無線電結構框架下，首先詳細探討了軟體無線電的前提條件，即如何對連續時間信號進行采樣量化，比較分析了幾種采樣的方式，其中最為重要的是帶通信號采樣定理；然後探討了軟體無線電的一個重要基礎，即多采樣率信號處理，重點討論其最基本的兩個過程抽取和內插以及抽取器和內插器的實現；接著介紹了結構簡單、適用於一級抽取的cic濾波器和適用於做2倍抽取的半帶濾波器；再次論文在總結了傳統的調制解調基礎上，結合軟體無線電器件的特點，系統的探討並實現了基於正交思想的am 、 fm 、 ask 、 fsk 、 bpsk 、 qpsk的正交調制解調演算法。
  3. A popular solution toimprove the speed and scalability of the association rule mining is todo the algorithm on a random sample instead of the entire database. buthow to effectively define and efficiently estimate the degree of errorwith respect to the outcome of the algorithm, and how to determine the samplesize needed are entangling researches until now. in this paper, an effective and efficient algorithm is given based on the pac probably approximate correct learning theory to measure and estimatesample error

    關聯規則挖掘作為數據挖掘的核心任務之一，由於其任務本身的復雜性通常需要多次整個掃描數據庫才能完成挖掘任務且頻繁模式可能產生組合爆炸，使得從原始的大規模數據集上抽取一部分樣本，在其上尋找用戶感興趣的近似規則成為目前提高演算法效率和可擴展性的一種簡單有效的現實可行方法之一。
  4. The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed

    主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。
  5. From theoretical analysis, we know the existing demodulation methods have limitations as following : one is that the subtraction of the two signals frequencies will display as the result of demodulation when we demodulate two time - domain adding signals without modulating information ( fault information ) ; the other one is that aliasing phenomenon will occur as a result of getting absolute value, detection or square in the process of generalized demodulation analysis, such phenomenon will result in some superfluous frequency composition on the frequency spectrum, which will puzzle the detec tion of mechanical vibration. if the sampling frequency is selected from a suitable range, the aliasing phenomenon will be avoided ; the last one is that aliasing frequencies will be produced in zoom demodulation analysis because this algorithm cannot employ digital low - pass filtering to avert the folding frequencies of higher harmonics in the process of zoom sub - sampling

    現有的解調分析方法存在以下三種局限性：將不包括調制信息（故障信息）的兩時域相加信號，也以其頻率之差作為解調信號而解出；廣義檢波濾波解調分析中，由於取絕對值、檢波或平方過程可能產生混頻效應，在解調譜中表現為無法分析的頻率成分，並由此推導出避免這種混頻現象的采樣頻率的選取范圍，從根本上避免此類誤診斷的產生；幾種細化解調分析新演算法中，因為無法在細化分析的選抽時進行數字低通濾波，有可能會出現調制頻率的高次諧波成分發生頻率混疊而反折到低頻部分的現象。
  6. The multiresolution method is extended and applied to random vibration control system, thus a multiresolution random vibration control algorithm is created, which provides a satisfied solution to the poor control precision problem at low frequency that was pointed out and remained unsettled for many years. the control algorithm has been successfully implemented on dactron ' s shaker control system, showing great improvement in low frequency control precision, with a little more computation resource consumed. high resolution octave analysis is another successful application of multiresolution spectrum estimation theory

    在多抽樣率信號處理理論和多分辨譜估計理論的基礎上，本文進而將多解析度思想推廣到隨機振動控制理論中，提出了多分辨隨機振動控制演算法，解決了振動控制界多年來懸而未決的低頻控制精度問題，並在dactron公司laser ~ （ tm ）和comet ~ （ tm ）等多種振動控制產品中得到了成功的應用，在計算量增加不大的前提下取得了令人滿意的控制效果。
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