elimination technique

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.
為了解決強弱混合信號中檢測和估計弱LFM分量參數(shù)的問題，在上面方法的基礎上，結合逐次消去技術提出了多分量LFM信號參數(shù)估計算法。
After the author unified the actual case to analyze in the skull micro to create in front of the elimination technique the technique to nurse the method and the attainment.
筆者結合實際案例分析了顱內(nèi)微創(chuàng)清除術前術后的護理方法和心得。
To solve this problem, a new method of frequency offset estimation is proposed. This method adopts modulated data elimination technique and the segmental correlation FFT algorithm.
為了解決這個問題，提出了一種新的頻率估計算法，采用擴頻調(diào)制信息消除策略和分段相關FFT頻譜分析技術實現(xiàn)頻偏精確估計。
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