图 书 馆
完全贝叶斯源分离及其在CMB中的应用Fully Bayesian Source Separation with Application to the CMB |
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| 课程网址: | http://videolectures.net/mcvc08_wilson_fbss/ |
| 主讲教师: | Simon Wilson |
| 开课单位: | 都柏林圣三一大学 |
| 开课时间: | 2008-02-15 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Blind source separation refers to the inferring of the values of variables (known as sources) from observations that are linear combinations of them. The observations and sources are usually vectors. Both the sources and the matrix of linear coefficients may be unknown. Here we describe an approach where the sources are assumed to be Gaussian mixtures. An MCMC procedure has been developed that computes the posterior distribution of sources and the matrix of linear coefficients from observations. It is applied to source separation in multi-channel extra-terrestrial microwave data, with the goal of separating out the cosmic microwave background signal. |
| 关 键 词: | 盲源分离; 线性系数; 假设源 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-09-18：chenxin |
| 阅读次数: | 95 |