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sensor calibration in Chinese

Pronunciation:
How to pronounce "sensor calibration""sensor calibration" in a sentence

Translationmobile phoneMobile

  • 傳感器定標(biāo)

Examples

  • The sensor calibration is the essential part of the process
    傳感器的標(biāo)定是實(shí)現(xiàn)零件測(cè)量與定位的核心內(nèi)容。
  • Application of polynomial regression analysis to soil - moisture sensor calibration
    多元回歸分析在土壤濕度傳感器標(biāo)定中的應(yīng)用
  • It can optimize the process of piezoresistive sensor calibration and compensation , then , a total error factor within 0 . 2 % of the sensor s repeatability errors is obtained
    通過(guò)該芯片的補(bǔ)償,可以使硅壓阻式傳感器的重復(fù)性誤差小于0 . 2 % 。
  • The ae sensor calibration system based on pulsed surface wave sound field was built , several commercial and self - made ae sensors had been calibrated on it
    建立了基于脈沖表面波聲場(chǎng)的聲發(fā)射傳感器標(biāo)定系統(tǒng),對(duì)商用和自制的幾種聲發(fā)射傳感器進(jìn)行了標(biāo)定。
  • At last , the paper introduced the necessary assistant work for on - line measure , which includes torque sensor calibration , installation and adjustment of measure system , etc
    最后,介紹了進(jìn)行在線(xiàn)檢測(cè)所必須的輔助性工作,包括扭矩傳感器的標(biāo)定和系統(tǒng)的安裝調(diào)試等。
  • High - precision on - field sensor calibration solution based on the three - dimensional measuring model of visual sensors . the mathematical model was constructed
    針對(duì)結(jié)構(gòu)統(tǒng)一的視覺(jué)傳感器,提出了統(tǒng)一的基于雙目立體視覺(jué)傳感器三維測(cè)量模型的高精度現(xiàn)場(chǎng)傳感器標(biāo)定方法,并建立了統(tǒng)一標(biāo)定數(shù)學(xué)模型。
  • The mca7707 is a special sensor signal processor optimized for piezoresistive sensor calibration and compensation . achieving a total error factor within 0 . 2 % , the mca7707 compensates temperature errors and non - linearity of silicon piezoresistive sensors
    Mca7707是一種專(zhuān)用傳感器信號(hào)處理器,它可以補(bǔ)償硅壓阻式傳感器的溫度誤差和非線(xiàn)性誤差,使傳感器總的精度達(dá)到0 . 2以?xún)?nèi)。
  • Based on the experiment , the feasibility of this ve modeling method based on the operating and controlling platform is validated , and an analysis of the relationship between the modeling accuracy and the influencing factors such as sensor calibration is carved out
    本文通過(guò)實(shí)驗(yàn)驗(yàn)證了基于虛擬環(huán)境操控平臺(tái)進(jìn)行遠(yuǎn)端環(huán)境建模的可行性,分析了傳感器標(biāo)定等建模精度的影響因素與建模誤差之間的關(guān)系。
  • The software could realize the wavemaker system control , data acpuisition , data analysis and sensor calibration , the applacation of multi - thread technology , precise timing technology and memory management technology in the wavemaker system is described respectively . furthermore , the software realizes real - time display of sampling process with directx technology and adopts object - oriented thinking to handle interfacing card . estimateing spectrum with ar model and calibrating the sensor with least square algorithm are also discussed in detail
    控制軟件利用多線(xiàn)程技術(shù)進(jìn)行多任務(wù)控制;采用高精度時(shí)間函數(shù)實(shí)現(xiàn)精確定時(shí);利用虛擬內(nèi)存與內(nèi)存映射文件進(jìn)行內(nèi)存管理;采用directx技術(shù)實(shí)現(xiàn)采樣過(guò)程的實(shí)時(shí)顯示;利用最小二乘原理對(duì)傳感器進(jìn)行標(biāo)定;采用面向?qū)ο笏枷雽?shí)現(xiàn)對(duì)控制采集卡的操作;利用ar參數(shù)模型法進(jìn)行譜估計(jì)。
  • Prior to being able to use an image in a landuse classification exercise one must first make fundamental corrections to the image data . the level of corrections differs for each satellite sensor but will generally involve sensor calibration for radiometric correction ( sun angles , earth - sun distances and atmospheric scattering effects ) , geometric corrections and geo - referencing to a known coordinate system
    在將圖像用于土地利用分類(lèi)處理之前,必須首先對(duì)圖像資料進(jìn)行基本修正。對(duì)于不同的衛(wèi)星感測(cè)器需采用不同的修正參數(shù)和方法,但一般涉及感測(cè)器校正,包括輻射校正(太陽(yáng)角度角、地球與太陽(yáng)的距離和大氣層的散射效應(yīng)) 、幾何校正以及設(shè)制地理座標(biāo)。
  • More examples:  1  2
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