抽樣過濾 的英文怎麼說

中文拼音 [chōuyàngguò]
抽樣過濾 英文
sample filtering
  • : 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) ...
  • : Ⅰ名詞1. (形狀) appearance; shape 2. (樣品) sample; model; pattern Ⅱ量詞(表示事物的種類) kind; type
  • : 過Ⅰ動詞[口語] (超越) go beyond the limit; undue; excessiveⅡ名詞(姓氏) a surname
  • : 動詞(除去液體雜質) filter; strain
  • 抽樣 : [統計] sample; sampling; specimen; samples draw
  • 過濾 : [工業] filter; filtrate; screening; colation; filtration; filtering; lautering; colating; straini...
  1. Thirdly, the fir decimating filter under over - sampling is designed and realized

    三、條件下的fir波器設計與實現。
  2. To utilize the advantages of dsp chips, the system should be computing sources economical. according to digital signal processing theory, the poly - phase fir can help reduce the workloads of the ddc / duc. therefore, adding the complex carrier mixers, the channelization system ( a method of using a single wideband facility to transmit many relatively narrow - bandwidth signals. by subdividing the frequency spectrum used in the wideband channel ) can be formed utilizing the characters of fft

    為了使開發出的軟體可以適用於高速dsp器件開發,節省系統資源,課題首先從數字信號處理的理論進行分析,得出可以利用率轉換的數字波器的特點,即多相波實現數字上下變頻計算負擔的減小,之後進一步將多相波器與頻譜搬移部分結合,通公式的推導,得出可利用快速傅立葉變換的特點實現多路信號的通道化發射和接收的處理模型。
  3. 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量化,比較分析了幾種采的方式,其中最為重要的是帶通信號采定理;然後探討了軟體無線電的一個重要基礎,即多采率信號處理,重點討論其最基本的兩個取和內插以及取器和內插器的實現;接著介紹了結構簡單、適用於一級取的cic波器和適用於做2倍取的半帶波器;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。
  4. It process documents not only based on latent semantic analysis, but also based on text multilevel dependency structure. the method first analysis the latent semantic structure of texts, make single value decomposition on text - matrix, reconstruct the semantic matrix ; then a method based on text multilevel dependency structure is adopted, deeply analysis the content of the semantic matrix, abstract the important sentences to generate abstraction and make up the shortage of latent semantic analysis on structure and syntax

    首先通對文本進行潛在語義分析,對文本矩陣進行相應的奇異值分解,重構語義矩陣;然後採用基於篇章多級依存結構的文摘分析方法,對重構的語義矩陣表示的文本內容進行深入的分析,取重要的句子生成文摘,這就彌補了潛在語義分析在詞法和句法分析上的不足;同時和去除了語義噪音,縮小了問題的規模。
  5. 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,利用卡爾曼波器跟蹤時變通道頭變化,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,同具有對通道階次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。
  6. 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;廣義檢波波解調分析中,由於取絕對值、檢波或平方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時進行數字低通波,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。
  7. The process that light wave gets through arrayed waveguides can be regarded as a process of extracting spatial sample and filtering spatial frequency. spacial sample is accomplished by period interval arrangement of awg and spatial frequency filtering is accomplished by the fundamental mode and phase delay of each arrayed waveguide which is just a spatial frequency filter

    而光場通陣列波導的程,可八碩士學住論文waiaster 』 stiesis以看作是空間以及空間波的程:空間由陣列波導的周期間隔排列完成,空間波由每個陣列波導的基模形式以及位相延遲完成(陣列波導即為一空間波器) 。
  8. Examinations show that our arithmetic can make good use of hvs system, and is robust to common image processing such as noise, mean - filter, sub - sample and jpeg compress. string - type watermark is more robust

    試驗檢驗,該演算法不僅能很好地結合hvs系統,且對一般圖像處理(對抗噪聲、均值波、亞和jpeg壓縮)都具有好的魯棒性,字元型水印的效果更佳。
  9. Neural network makes label elements of filter dom tree as input, extract results as output, training via bp learning arithmetic

    神經網路將本集中后的dom樹的標簽元素作為網路的輸入,標注取結果作為理想輸出,通反向傳播學習演算法對網路進行訓練。
  10. Furthermore, this thesis not only evaluates the sampling efficiency and the effective sample size, but also enhances the practical operation capability of massive datasets " dataming through particle filtering

    另外,本文還評估了效率和有效容量等問題,使用了極小量方法,進一步增強了對巨型數據集的數據挖掘的實際操作能力。
  11. In order to improve the efficiency, we use the sampling points of the sequences to compute the distance of two sequences. the distance of sampling points is used to filter the sequence of the database, so the similarity searching space is reduced and the efficiency of the query is improved

    在保持序列變化模式的前提下,使用點來計算序列之間的dtw距離,並依據比率和查詢參數選擇距離對序列數據庫進行,實驗結果表明,抽樣過濾的方法明顯提高了查詢效率。
分享友人