计算机与数字工程2016，Vol.44Issue(3)：497-500,4.DOI:10.3969/j.issn.1672-9722.2016.03.025
基于EMD和相空间重构的钢琴和弦识别磁
Piano Chord Recognition Basedon EMD and Phase Space Reconstruction
刘婷1
作者信息
- 1. 首都医科大学附属北京妇产医院北京 100026
- 折叠
摘要
Abstract
The process on the basis of characteristic parameters and classifier is built in this thesis .Nonlinear character‐istics extracted from the chord are used in constructing classifier and experiments .Although different chords have different phase space reconstruction parameters ,the value of delay‐time and embedding dimension has to be fixed .And part of the nonlinear characteristics will be lost which lower the recognition accuracy .For making up the disadvantage mentioned above , EMD adaptive signal decomposition methods are used in preprocessing .The result of experiments show that different type of chords can be recognized by this method .关键词
和弦识别/相空间重构/EMDKey words
chord recognition/phase space reconstruction/EMD分类
信息技术与安全科学引用本文复制引用
刘婷..基于EMD和相空间重构的钢琴和弦识别磁[J].计算机与数字工程,2016,44(3):497-500,4.
