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1·This paper gives a new arithmetic of the background filtration (enhanced simplification high-pass filtering).

提出一种新的背景滤除算法(增强型简化高通滤波)。

2·Experimental results show that it can detect the target more effectively compared with the high-pass filtering.

实验结果表明，与高通滤波相比，该方法能够更有效地检测出弱小目标。

3·However, the HF subband is created by subtracting the synthesized LF subband from original image but not by 2-D high-pass filtering original image.

但是，高频子带并不是通过2-D高通滤波原始图像，而是通过原始图像与合成的低通子带相减得到的。

4·This method was applied to computer-simulated and clinically collected carotid Doppler signals, and compared with the conventional high-pass filtering method.

并用于计算机仿真的超声多普勒信号和实际采集的人体颈总动脉多普勒信号的处理，同时与传统的高通滤波器方法进行了比较。

5·With this technique, the digital image convolution can be realized, therefore, the image low-pass filtering, image high-pass filtering, edge-enhancing could be realized.

采用这种技术，可以实现数字图像卷积运算，因此可以完成图像的低通滤波、高通滤波、强化边缘等处理。

6·Two methods with which the long disturbance is removed from the digital care introduced: narrow band low-pass filtering canceling method and adaptive high-pass filtering method.

主要提出两种消除数字地震信号中长周期随机干扰的方法：窄带低通滤波对消法和自适应高通滤波法。通过使用多级抽点技术大大减少滤波法的运算量，可获得良好的滤波特性。

7·We first employed the unsharp masking to adjust the contrast of angiograms, and then removed the consistent component of low frequency in frequency domain by high-pass filtering.

首先采用反锐化滤波器对血管造影图像进行对比度调整，然后通过频域高通滤波去除背景中的一致性成分。

8·The mean blood velocity was estimated using the proposed method with a relative error of 5.62%, which demonstrated improved accuracy compared to 12.83% by using the high-pass filtering method.

实验中得到了与实际更接近的平均流速估计，相对误差仅为5.62%，与滤波法的相对误差12.83%相比，准确性得到了一定的提高。

9·According to the imaging difference of target, background clutter and noise, a moving small target detection method based on spacial high-pass filtering and N-frame track accumulating is presented.

根据目标、背景干扰和噪声在红外序列图像中的差异，提出了一种基于空间高通滤波和时间域上N帧轨迹积累的运动小目标检测方法。

10·This novel method, together with the traditional high-pass filtering method, is applied to both computer simulated Doppler ultrasound signals and collected human carotid Doppler ultrasound signals.

对计算机仿真的超声多普勒信号和采集的人体颈总动脉多普勒信号分别应用该方法，并和传统的高通滤波器方法进行比较。