摘要
多元假设检验理论是随机信号分析与处理课程教学中的难点和重点内容。本文以Kay编写的经典教材[1]中提出的图像模式识别实验为例,详细讨论了实验原理、流程以及一些具体的注意事项,并对不同噪声强度和窗口大小的图像恢复效果做了直观的比较和简单的分析。实践表明,将图像模式识别实验引入多元假设检验理论的教学中,可以使该理论的教学更加直观和易于理解。
The theory of multiple hypotheses testing is one of the difficult and important contents in the teaching of random signal analysis and processing. This paper takes the image pattern recognition experiment introduced in Kay＇s book[1] as an example. The principles, steps and other notes of this experiment are proposed. We also briefly compare the results among different noise power and window sizes. It＇s indicated that the theory of multiple hypotheses testing can be more intuitively and easily understood by introducing the image pattern recognition experiment into practical teaching.
出处
《电气电子教学学报》
2008年第5期51-53,共3页
Journal of Electrical and Electronic Education
关键词
多元假设检验
图像模式识别
教学实验
统计判决
multiple hypotheses testing
image pattern recognition
teaching experiment
statistical decision
