首先较细地研究了时域、频域和变换域最小均方自适应滤波器。
Firstly we have detailedly studied the time-domain, frequency-domain and transform-domain LMS adaptive digital filters.
针对实际采集的雷达回波信号，分析了自适应高斯频域滤波器的地物杂波抑制性能。
Using the actual collected radar echo signals, we analyze the ground clutter suppression performance of the adaptive Gaussian frequency filter.
从理论上详细分析了基于滤波器组的窄带干扰抑制技术能够克服基于FFT频域均衡缺点的主要原因，并在此基础上提出了基于自适应子带合并的算法。
It is considered completely in theory why the NBI method based on filter Banks can overcome the disadvantages of FFT method, and the adaptive subband merging is presented.
给出了频域滤波的基本原理，重点研究了自适应高斯频域滤波器这一频域滤波算法。
We give the basic theory of frequency filtering. In the frequency domain, the work focuses on the adaptive Gaussian frequency filter.
本文设计的均衡器采用了时域和频域联合处理的自适应均衡技术，其中频域均衡作为DFE的前馈滤波部分，时域的反馈滤波的部分使用常规的横向滤波器。
The equalization in frequency domain is the feed-forward filtering of the DFE. And the traditional transversal filter is used in the feed-back filtering in time domain.
本文设计的均衡器采用了时域和频域联合处理的自适应均衡技术，其中频域均衡作为DFE的前馈滤波部分，时域的反馈滤波的部分使用常规的横向滤波器。
The equalization in frequency domain is the feed-forward filtering of the DFE. And the traditional transversal filter is used in the feed-back filtering in time domain.
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