ref.bib

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    year={2013},
    month={6},
    title={\LaTeX 入门},
    publisher ={电子工业出版社},
    address={北京},
    type={M},
}

@online{ctex,
	author = {刘海洋 and 李青 and 黄晨成 and others},
	title = {ctex},
	date = {2016-04-25},
	url = {http://mirror.hust.edu.cn/CTAN/language/chinese/ctex/ctex.pdf},
	urldate = {2016-05-12},
}

@online{biber,
	author = {Kime, Philip and Charette, Fran\c{c}ois},
	title = {Biber: A backend bibliography processor for biblatex (Version 1.8)},
	type = {M/OL},
	date = {2013-10-18},
	url = {http://mirror.ctan.org/biblio/biber/},
	urldate = {2014-05-24},
}

@inbook{stokes,
    author ={Walter Rudin},
    title={Stokes' Theorem},
    bookauthor ={Walter Rudin},
    year={1976},
    booktitle={Priciples of Mathematical Analysis},
    publisher ={McGraw-Hill},
    address={American},
    pages={273-275},
    type={M}
}

@ONLINE {mathboldfont,
    author = "刘海洋",
    title  = {如何在\hologo{LaTeX}数学模式中更好地使用粗体？},
    month  = "apr",
    year   = "2016",
    url    = "https://www.zhihu.com/question/25290041/answer/30422583",
    type = {OL}
}

@online{biblatex-gbt,
	author = {szsdk},
	title = {biblatex-gbt77142005},
	type = {M/OL},
	url = {https://github.com/szsdk/biblatex-gbt77142005},
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}

@online{caspervector,
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	title = {biblatex 参考文献和引用样式},
	type = {M/OL},
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	url = {http://ctan.math.utah.edu/ctan/tex-archive/macros/latex/contrib/biblatex-contrib/biblatex-caspervector/},
	urldate = {2016-05-08},
}

@online{biblatexlexer,
	author = {Marco D. Adelfio},
	title = {{bibtex-pygments-lexer 0.0.1}},
	date = {2013-02-21},
	url = {https://pypi.python.org/pypi/bibtex-pygments-lexer},
	urldate = {2016-05-08},
}

@online{biblatex,
	author = {Lehman, Philipp},
	title = {The biblatex Package: Programmable Bibliographies and Citations (Version 2.8a)},
	type = {M/OL},
	date = {2013-11-25},
	url = {http://mirror.ctan.org/macros/latex/exptl/biblatex/},
	urldate = {2014-05-24},
}
@online{zhengsongzhiZhuChengFenFenXiPCAJiQiMATLABDeShiXianFangFa2020,
  title = {主成分分析（{{PCA}}）{{及其MATLAB的实现方法}}},
  author = {, 郑淞之},
  date = {2020-02-23},
  url = {https://blog.csdn.net/szzheng/article/details/104451760},
  urldate = {2021-01-14}
}
@inproceedings{yahzongQuerySimilarMusic2001,
  title = {Query {{Similar Music}} by {{Correlation Degree}}},
  booktitle = {Advances in {{Multimedia Information Processing}} — {{PCM}} 2001},
  author = {Yahzong, Feng and Yueting, Zhuang and Yunhe, Pan},
  editor = {Shum, Heung-Yeung and Liao, Mark and Chang, Shih-Fu},
  date = {2001},
  pages = {885--890},
  publisher = {{Springer}},
  location = {{Berlin, Heidelberg}},
  doi = {10.1007/3-540-45453-5_116},
  abstract = {We present in this paper a novel system for query by humming, our method differs from other ones in the followings: Firstly, we use recurrent neural network as the index of music database. Secondly, we present correlation degree to evaluate the music matching precision. We now hold a database of 201 pieces of music with various genres. The result of our experiment reports that the successful rate is 63\% with top one matching and 87\% with top three matching. Future work will be on melody extraction technique from popular formats of music and on-line music retrieval.},
  isbn = {978-3-540-45453-3},
  keywords = {Acoustic Input,Correlation Degree,Pitch Contour,Pitch Period,Recurrent Neural Network},
  langid = {english},
  series = {Lecture {{Notes}} in {{Computer Science}}}
}