elimination technique

基本解释

By combining successive elimination technique with above method, weak LFM signals can be detected among some strong LFM signals and their parameters are estimated.
为了解决强弱混合信号中检测和估计弱LFM分量参数的问题，在上面方法的基础上，结合逐次消去技术提出了多分量LFM信号参数估计算法。
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.
笔者结合实际案例分析了颅内微创清除术前术后的护理方法和心得。
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.
为了解决这个问题，提出了一种新的频率估计算法，采用扩频调制信息消除策略和分段相关FFT频谱分析技术实现频偏精确估计。
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