图 书 馆
支持向量机的优化算法Optimization Algorithms in Support Vector Machines |
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| 课程网址: | http://videolectures.net/mlss09us_wright_oasvm/ |
| 主讲教师: | Stephen J. Wright |
| 开课单位: | 威斯康星大学 |
| 开课时间: | 2009-07-30 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This talk presents techniques for nonstationarity detection in the context of speech and audio waveforms, with broad application to any class of time series that exhibits locally stationary behavior. Many such waveforms, in particular information-carrying natural sound signals, exhibit a degree of controlled nonstationarity, and are often well modeled as slowly time-varying systems. The talk first describes the basic concepts of such systems and their analysis via local Fourier methods. Parametric approaches appropriate for speech are then introduced by way of time-varying autoregressive models, along with nonparametric approaches based on variation of time-localized estimates of the power spectral density of an observed random process, along with an efficient offline bootstrap procedure based on the Wold representation. Several real-world examples are given. |
| 关 键 词: | 音频波形环境; 非平稳性检测; 非参数方法 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-07-14：yumf |
| 阅读次数: | 38 |