complexity of computation中文是什么意思

發(fā)音:

中文翻譯
造句

計(jì)算的復(fù)雜性
計(jì)算復(fù)雜性

complexity n. 1.復(fù)雜性，復(fù)合狀態(tài)。 2.復(fù)合物；復(fù)雜的事物[情 ...
computation n. 1.計(jì)算，估算。 2.計(jì)算法。 3.計(jì)算結(jié)果，得數(shù) ...
amortized computation complexity 折算復(fù)雜性
complexity n. 1.復(fù)雜性，復(fù)合狀態(tài)。 2.復(fù)合物；復(fù)雜的事物[情況]。
computation n. 1.計(jì)算，估算。 2.計(jì)算法。 3.計(jì)算結(jié)果，得數(shù)。
advancing complexity 進(jìn)化綜合
algorithm complexity 算法復(fù)雜性
algorithmic complexity 算法復(fù)雜性
asymptotic complexity 漸近復(fù)雜性
aufwand complexity 復(fù)雜性
business complexity 業(yè)務(wù)復(fù)雜性
chemical complexity 化學(xué)復(fù)雜度
circuit complexity 電路復(fù)雜性
clonal complexity 克隆復(fù)雜性
code complexity 代碼復(fù)雜性
cognitive complexity 認(rèn)知復(fù)雜性
complexity analysis 成分分析
complexity class 復(fù)雜度類; 復(fù)雜性類
complexity factor 復(fù)雜度系數(shù); 復(fù)雜性因子; 復(fù)雜性指示; 復(fù)雜因數(shù)
complexity graph 復(fù)雜性圖形
complexity measure 復(fù)雜性度量
complexity metrics 復(fù)雜性度量
complexity of computing 計(jì)算復(fù)雜性
complexity of emotion 情緒的復(fù)雜性
complexity of interface 接口復(fù)雜性

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Increasing the fft ’ s points can decrease the frequency interval , but it will increase the complexity of computation at large extent
如采用增大fft運(yùn)算的點(diǎn)數(shù)來(lái)減小頻率采樣的間隔,將大大增加數(shù)字信號(hào)處理的運(yùn)算量,從而影響到雷達(dá)工作的實(shí)時(shí)性。
Numerical results are compared with that of the analytical solution , it was shown that the complexity of computation was reduced drastically without sacrificing much accuracy
數(shù)值結(jié)果表明：標(biāo)準(zhǔn)拋物線方程算法在計(jì)算目標(biāo)雷達(dá)散射截面時(shí)具有較高精度，且計(jì)算速度大大提高。
The analysis is also given on the sphere of application , the complexity of computation . after the extraction of the precise tdoa signal , it is the major problem
在提取到準(zhǔn)確的時(shí)差信號(hào)后,論文第四部分就如何獲取精確的目標(biāo)輻射源位置,即定位算法進(jìn)行了研究,主要分析了非線性定位方程組的求解技術(shù)
The experiments confirm this method is suitable for many kinds of images , its complexity of computation is less than traditional pixel - based methods , and also it can help do with the oversegmentation
實(shí)驗(yàn)表明，該方法可以適合于多種類型的圖像并且其計(jì)算量遠(yuǎn)小于傳統(tǒng)的基于像素的區(qū)域生長(zhǎng)方法，同時(shí)有助于改善由圖像噪聲所引起的過分割現(xiàn)象。
In term of the orthogonal property of alamouti scheme and the character of the ofdm system equivalent model expression of receiver signal for stbc - ofdm system was obtained by flexible transform method so that the inverse of matrix was avoided using direct - decision mode and the complexity of computation and receiver was decreased . the simulation results show the validity and efficiency of the proposed receiver . ( 6 ) an adaptive equalization algorithm used in space - time block coded ofdm ( stbc - ofdm ) system with alamou
該算法充分利用了alamouti編碼的正交特性和多發(fā)射天線ofdm系統(tǒng)特點(diǎn)，通過靈活的變換對(duì)接收信號(hào)進(jìn)行等價(jià)的表示；通過對(duì)11矩陣求逆的研究，將塊最小二乘遞推算法（ brl ）中的zkxzk的矩陣求逆分解為k個(gè)2x2矩陣的求逆，從而降低了自適應(yīng)算法的運(yùn)算量和接收機(jī)的復(fù)雜度。
3 the concept of equivalence matrix , which expresses equivalence relation in rough set information system , is introduced ; the relations between equivalence matrix and equivalence classes are discussed . the algorithms for data cleaning and rules extraction in knowledge system based on matrix computation are proposed and their complexity of computation is analyzed
3 、在等價(jià)矩陣概念的基礎(chǔ)上，分析了粗糙集知識(shí)系統(tǒng)中等價(jià)劃分與等價(jià)摘要矩陣的關(guān)系，采用等價(jià)矩陣來(lái)表示粗糙集的等價(jià)關(guān)系，提出了一種對(duì)數(shù)據(jù)庫(kù)知識(shí)系統(tǒng)進(jìn)行數(shù)據(jù)清洗以及從中提取決策規(guī)則的矩陣算法，分析了該算法的計(jì)算復(fù)雜性。
After deeply investigate and analysis , we found the drawback of clique lies in its inconsideration of the characteristic of the data being processed . it grid the data into a predefined grid and this adds up to the complexity of the computation . then it has to degrade the accuracy of the result to degrade the complexity of computation ,
通過深入的研究和分析，發(fā)現(xiàn)由于clique算法沒有考慮到如何利用當(dāng)前挖掘數(shù)據(jù)的特性，而是進(jìn)行一種硬性的網(wǎng)格劃分，因此增加了計(jì)算復(fù)雜程度，而為了降低計(jì)算的復(fù)雜程度就只能降低聚類結(jié)果的精確性。
Based on the introduction of the principles of takagi - sugeno ( t - s ) fuzzy model and generalized predictive control ( gpc ) algorithm , the fuzzy predictive control method combining gpc and t - s model is classified as three kinds of algorithms . the design method of these algorithms is presented in detail . a comparison of these fgpc strategies in control performance and complexity of computation is given by simulation
在介紹了t - s模糊模型和gpc基本原理的基礎(chǔ)上，將基于t - s模型的gpc歸納為三種算法，從理論上對(duì)這三種算法進(jìn)行了詳細(xì)地推導(dǎo)，并通過仿真研究比較了三種算法的控制性能和計(jì)算負(fù)擔(dān)上的差異；從而為這一類模糊預(yù)測(cè)控制的實(shí)際應(yīng)用提供了選擇的依據(jù)，也為進(jìn)一步的性能分析奠定了基礎(chǔ)。

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