C - centrobaric 中文 - EN166

centrobaric adj.與重心有關的。

centroid
It gradually turned into the type of pyramid after the scale of enterprise has been enlarged . the modern cooperation system has introduced radical change in the senior management of a company , and the system of the business departments lowers the centrobaric of the enterprise . but they all retain the organization structure of pyramid , which is oriented by vertical order and assisted by parallel cooperation 早期小型古典企業的組織結構呈現扁平化，在規模擴大后逐步走向金字塔型；現代公司制使企業高層管理發生本質變化，事業部制使企業重心下移，但都維持了縱向為主、橫向協調為輔的金字塔式組織結構。
Due to existing signal processing technology ’ s shortage such aslow measurement , narrow measurement range precision and other poor performance , we introduced a high - precise signal processing technology : firstly , to get power spectrum with hanning windowed welch modified periodogram , search its peak value frequency ; secondly , to apply zooming analysis via goertzel algorithm ; at last , to get a highly precise doppler frequency with energy centrobaric rectifying algorithm 。 the simulating result indicated that this technology introduced could get accurate doppler frequency 。 depending on above discussed technology , we designed a signal processing scheme , and developed a signal processing system . the running result showed high performance , verified the feasibility and reliability of the highly precise signal processing technology introduced . in a word , the technology improved ldv ’ s performance such as measurement precision , measurement range , dynamic response time 。 and it will have a wide application foreground 針對存在的缺點,本文提出了一種應用于激光多普勒測速的高精度信號處理技術,即首先利用加hanning窗的welch修正周期圖算法得到信號功率譜,搜索其譜峰值頻率,接著利用goertzel頻譜細化算法對搜索的譜峰進行細化分析,再引入能量重心頻譜校正算法對細化后的譜峰進行校正分析,從而將離散頻譜分析算法、頻譜細化算法和頻譜校正算法三者有機結合起來,充分發揮各自的優點:通過加hanning窗的welch修正周期圖算法快速得到功率譜及峰值頻率,通過goertzel算法獲得分析頻帶的高分辨率頻譜,然后通過能量重心校正算法對細化后的頻譜進行高精度校正,這樣不僅保證了算法的高效性,而且大大提高了分析的精度。
Studied on floating avoiding method and the memory conflict regulating method to realize the real - time image capture . 2 . using four subpixel - locating methods to obtain the center of micro parts , which are template - matching method , core - shape method , centrobaric gray method , and edge - fitting method 利用模板匹配法、型心法、灰度重心法和邊緣擬合法等四種亞像素定位方法實現了對零件中心位置的檢測；利用圖像旋轉方法，進行了零件旋轉角度定位研究。
The energy centrobaric method is made use of correcting the doppler spectrum , the simulation predicted value of the target velocity is obtained 用能量重心校正法對多普勒頻移校正，進而得到物體的運動速度的模擬計算值。