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DFT
信号与系统试验报告
离散傅立叶变换(DFT)和频谱分析
一、实验内容
1、实验题目
(1)编写DFT、IDFT程序,并验证其正确性(提示:可利用冲激函数进行验证)。
(2)计算信号f(t)=e-at2sin(2∏ft)的离散傅立叶变换(DFT),求其振幅谱,相位谱、振幅最大值对应的频谱(检测主频)以及对发f(t)进行DFT变换的结果实现IDFT变换,并画出图形。
参数选择如下:频率f =30HZ,a=f 2㏑(M),M=2.5
2、通过实验理解信号振幅谱、相位谱的物理意义,掌握DFT、IDFT算法的实现方法。()
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为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)
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