基于Python的随机信号分析课程随机数产生实验设计  

Random Number Generation Experiment Based on Python for Random Signal Analysis

作　　者：钟何平[1] 田振[1] Zhong Heping;Tian Zhen(School of Electronic Engineering,Naval University of Engineering,Wuhan,430030,China)

机构地区：[1]海军工程大学电子工程学院,湖北武汉430030

出　　处：《中国现代教育装备》2023年第15期141-144,共4页China Modern Educational Equipment

摘　　要：阐述了基于Python的随机信号分析课程实验设计的优势。介绍了均匀随机数和高斯随机数的产生原理,并在Python环境下对不同方法产生的随机数性能进行了对比分析,验证了将其作为随机信号分析实验开发环境的可行性,有利于课程的持续建设。In this paper,the advantages of experimental design of random signal analysis course based on Python is given.The principle of generating uniform random number and Gaussian random number is introduced,and the performance of random number generated by different methods is compared and analyzed in Python environment,which verifies the feasibility of using it as the experimental development environment of random signal analysis,which is conducive to the continuous construction of the course.

关 键 词：随机信号分析 随机数 PYTHON 均匀分布 高斯分布 

分 类 号：G642.423[文化科学—高等教育学]