weighted means造句
造句與例句
手機(jī)版
- On the distribution of k - th weighted mean of dirichlet l - functions
次加權(quán)均值分布 - Generalized weighted mean values with two parameters and its monotonicity
雙參數(shù)廣義加權(quán)平均值及其單調(diào)性 - Weighted average , weighted mean
加權(quán)平均數(shù) - Weighted mean difference , wmd
加權(quán)均數(shù)差 - Arithmetic weighted mean
加權(quán)算術(shù)均數(shù) - Method of weighted mean
加權(quán)平均法 - Weighted mean salary
加權(quán)平均薪金 - Weighted mean square
加權(quán)平均方差 - Baseline details were tabulated with ariance - weighted means or proportions , where suitable
基線的詳情通過(guò)適當(dāng)?shù)募訖?quán)方差或比例的方式如表所示。 - Many people have the mistaken notion that losing weight means a less fat body . compared to body weight , the body fat index is a more accurate and objective indication of a persons health
體脂肪測(cè)定是比體重更為精確客觀的健康指標(biāo)，當(dāng)人體脂肪百分比過(guò)量時(shí)，謂之肥胖較為科學(xué)。 - It's difficult to see weighted means in a sentence. 用weighted means造句挺難的
- We estimated the weighted mean differences or standardized mean differences , with their 95 % confidence interals , in mechanical axis alignment , duration of surgery , and functional scales between naigated and conentional surgery
對(duì)于導(dǎo)航和傳統(tǒng)術(shù)式的力軸校直、手術(shù)時(shí)間和功能得分，我們計(jì)算了加權(quán)均數(shù)差值或標(biāo)準(zhǔn)均數(shù)差值的95 %可行區(qū)間。 - In this paper , by using the relevant data of zhejiang province in 2005 , we introduce the weighted mean method , principal component analysis , factor analysis and clustering analysis to evaluate and rank the synthetic economic power of the 11 main cities of zhejiang province
摘要利用浙江省2005年有關(guān)統(tǒng)計(jì)數(shù)據(jù)，分別采用加權(quán)平均法、主成分分析法、因子分析法和聚類(lèi)分析法對(duì)浙江省11個(gè)中心城市的綜合經(jīng)濟(jì)實(shí)力進(jìn)行了綜合評(píng)價(jià)和排位。 - Then the local weighted mean method is used to register the image distortions . this method can not only successively register the local geometric distortions but also fit for the infinite length image registration . images are registered and exported with sequential subsections
然后以局部加權(quán)平均的表面擬和方法對(duì)失配圖像做幾何校正，該方法既有效地校正了遙感圖像中的局部幾何畸變，又適合于針對(duì)無(wú)限長(zhǎng)圖像進(jìn)行數(shù)據(jù)流式的分段配準(zhǔn)輸出。 - In order to real - time detection of netwok anomalies , an algorithm based on steady model is proposed . both weighted mean value and variance statistics method are used to build and update the steady model . furthermore , roc curve method is used to assess performance
為了實(shí)現(xiàn)異常檢測(cè)的實(shí)時(shí)性,提出一種基于穩(wěn)態(tài)模型的流異常檢測(cè)算法,采用加權(quán)均值和方差計(jì)算相結(jié)合的統(tǒng)計(jì)學(xué)方法對(duì)網(wǎng)絡(luò)流量進(jìn)行穩(wěn)態(tài)建模和更新,并使用roc曲線進(jìn)行異常檢測(cè)模型的性能評(píng)估。 - Afterwards , in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction , an improved sfim image fusion method is proposed . this modified algorithm is on the base of sfim fusion technique , combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter . compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images , it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images
論文的主要工作和成果包括：在像素層，論文研究了多傳感器數(shù)據(jù)融合理論及遙感圖像預(yù)處理的過(guò)程和步驟，歸納了多源遙感圖像像素層融合的常用算法，并針對(duì)目前遙感數(shù)據(jù)呈海量化、復(fù)雜化這一發(fā)展趨勢(shì)同遙感信息提取的能力和效率滯后這一矛盾，在sfim算法的基礎(chǔ)上，將ihs變換與sfim相結(jié)合，將原算法中的均值濾波器改進(jìn)為自適應(yīng)加權(quán)均值濾波器，提出了一種改進(jìn)的sfim算法，通過(guò)對(duì)一組多光譜圖像和全色圖像的雙傳感器融合仿真對(duì)比試驗(yàn)，證明了該算法在保持原多光譜圖像光譜信息的同時(shí)，能夠有效提高融合圖像的空間分辨能力。 - Abstract : starting from the definition of weight , the paper derives the relaton detween the change of the a priori unit weight weight mean error with the result of adjustment . lt is found that the change has influence only on the exploring effect of the posteriori unit weight mean error and gross error and the coordinated factor matrix , and no influence on all other adjustment results
文摘:該文從權(quán)的定義出發(fā)，導(dǎo)出了先驗(yàn)單位權(quán)中誤差的變化與平差成果的關(guān)系，發(fā)現(xiàn)其變化僅對(duì)驗(yàn)后單位權(quán)中誤差、粗差探測(cè)效果和協(xié)因數(shù)陣有影響，對(duì)其它平差成果均無(wú)影響。 - Based on the analysis of image wavelet transformation and the space / frequency distributing characteristics of different subbands " coefficients , this dissertation fully exploits the following theories and methods : scalar quantization , vector quantization , trellis coded quantization , trellis coded vector quantization , vector classification , codebook expansion and weighted mean square error rule basing mankind visual characteristics , etc . from different angles of information amalgamation , it develops several innovative algorithms of image compression and coding , gives their realization schemes , and makes plentiful simulation tests
本文在分析了圖像小波變換的原理和子帶系數(shù)空間及頻率分布特點(diǎn)的基礎(chǔ)上，充分利用標(biāo)量量化、矢量量化、網(wǎng)格編碼量化、網(wǎng)格編碼矢量量化、矢量分類(lèi)、碼書(shū)擴(kuò)展和基于人眼視覺(jué)特性的加權(quán)均方誤差準(zhǔn)則等思想和方法，從信息融合的不同角度展開(kāi)了對(duì)小波圖像的壓縮編碼研究，同時(shí)也討論了這些方法在靜止圖像量化中的具體應(yīng)用。 - Abstract : to evaluate the power equipment of armored vehicles effectively , this paper raises the evaluation indexes of its tactical and technical effectiveness level , and gives the integrated evaluation of the power equipment of the russia typical armored vehicles by using weighted means method
文摘:為了對(duì)裝甲車(chē)輛的動(dòng)力裝置進(jìn)行有效地評(píng)價(jià)，該文系統(tǒng)的介紹了反映其戰(zhàn)術(shù)一技術(shù)效能水平的評(píng)價(jià)指標(biāo)，應(yīng)用加權(quán)平均的評(píng)價(jià)方法對(duì)俄軍典型裝甲車(chē)輛的動(dòng)力裝置進(jìn)行了綜合評(píng)估。 - In the aspect of detection and high precision estimation of seafloor backscattering , algorithms of fast convergence of energy center and correlation of eigen - replica were developed . also studded were processing methods of weighted mean time ( wmt ) and bearing direction indicator ( bdi ) based on fft beam forming as well as high precision detection and estimation of time of arrival ( toa ) and direction of arrival ( doa ) using split beams phase difference detection technique
圍繞海底反向散射信號(hào)的高精度檢測(cè)和估計(jì)技術(shù)，開(kāi)發(fā)了快速能量中心收斂算法和特征模型相關(guān)算法，研究了基于fft波束形成的加權(quán)時(shí)間平均與方位指示處理方法，并討論了利用分離波束相位差檢測(cè)技術(shù)的海底反向散射信號(hào)到達(dá)時(shí)間( toa )和到達(dá)方向( doa )的高精度檢測(cè)與估計(jì)方法。
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