节点文献
最大熵算法及其在频谱分析中的应用
Maximum entropy method and its application on spectral analysis
【摘要】 为实现高分辨率与小方差的小子样频谱分析,在快速傅立叶变换算法基础上,引入最大熵算法,给出计算原理和算例,并与常用的FFT和BFFT软件的相应计算结果进行比较.计算实例表明,应用最大熵算法分析计算诸如海浪一类平稳各态历经的随机过程是有效的.
【Abstract】 To carry out spectral analysis for observation data with small size according to a certain spectral resolution and variance,the maximum entropy method(MEM) was introduced based on the fast Fourier transform(FFT) algorithm.The computational principle and example were provided and a comparison of calculation results with FFT and bootstrap FFT was provided.Computational results show that MEM is effective to treat with the record of the stationary and ergodic stochastic process such as sea wave within time domain.
【关键词】 功率谱密度函数;
快速傅立叶变换(FFT);
自举快速傅立叶变换(BFFT);
最大熵算法(MEM);
频谱分析;
【Key words】 power spectral density function; fast Fourier transform(FFT); Bootstrap FFT(BFFT); maximum entropy method(MEM); spectral analysis;
【Key words】 power spectral density function; fast Fourier transform(FFT); Bootstrap FFT(BFFT); maximum entropy method(MEM); spectral analysis;
【基金】 国家高技术研究发展计划(863)资助项目(2006AA09A104)
- 【文献出处】 大连海事大学学报 ,Journal of Dalian Maritime University , 编辑部邮箱 ,2011年01期
- 【分类号】P752
- 【被引频次】8
- 【下载频次】313