successive elimination

基本解釋

By combining successive elimination technique with above method, weak LFM signals can be detected among some strong LFM signals and their parameters are estimated.
為了解決強(qiáng)弱混合信號(hào)中檢測(cè)和估計(jì)弱LFM分量參數(shù)的問(wèn)題，在上面方法的基礎(chǔ)上，結(jié)合逐次消去技術(shù)提出了多分量LFM信號(hào)參數(shù)估計(jì)算法。
In order to reduce the calculation number of matching position and keep the precision, we make use of the successive elimination algorithm. Therefore, the complexity was reduced.
為了減少塊匹配過(guò)程中每個(gè)待匹配位置的運(yùn)算次數(shù)，保持塊匹配的精度，又引入了連續(xù)排除算法，降低了計(jì)算復(fù)雜度。
For decreasing the computational complexity of searching process in best neighborhood matching method, a fast error concealment algorithm using successive elimination was proposed.
為了減少自相似錯(cuò)誤隱藏算法中搜索過(guò)程的計(jì)算復(fù)雜度，提出了一種基于連續(xù)淘汰的快速自相似錯(cuò)誤隱藏算法。