虹膜图像中通常包含了干扰因素的眼睑，为了消除影响识别效果的这种干扰因素，保证较高的识别率，提出一种分段检测算法。

In order to ensure high recognition rate and remove the disturbing factor in iris image, an algorithm of segment detection is proposed to detect eyelid and remove it.

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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。

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.

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为此，需要消除PC G信号中的噪声，并用分段算法定位第一心音。

To achieve this, noise in the PCG signal should be removed, and a segmentation method should be used to locate the first heart sound.

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