本研究旨在对梅尔倒频谱与一般倒频谱进行比较。
梅尔倒频谱与一般倒频谱的比较 [ 编辑 | 编辑源代码 ] 优点：
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{\displaystyle Y[m]=\log \left(\sum _{k=f_{m-1}}^{f_{m+1}}\left|X[k]\right|^{2}B_{m}[k]\right)}
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{\displaystyle \left|X[k]\right|^{2}}
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{\displaystyle Y[m]=\log \left(\sum _{k=f_{m-1}}^{f_{m+1}}\left|X[k]\right|^{2}B_{m}[k]\right)}
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{\displaystyle \sum _{k=f_{m-1}}^{f_{m+1}}\left|X[k]\right|^{2}B_{m}[k]}
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{\displaystyle X[k]}
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{\displaystyle B_{m}[k]}
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{\displaystyle f_{1},f_{2},f_{3},...}
倒频谱#特性_2 ，
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↑ Jian-Jiun Ding, Advanced Digital Signal Processing class note, the Department of Electrical Engineering, National Taiwan University (NTU), Taipei, Taiwan, 2018.
![{\displaystyle Y[m]=\log \left(\sum _{k=f_{m-1}}^{f_{m+1}}\left|X[k]\right|^{2}B_{m}[k]\right)}](https://wikimedia.org/api/rest_v1/media/math/render/svg/94721c49f5b0d7a24db7a65507fa809eba4d77bd)
![{\displaystyle \left|X[k]\right|^{2}}](https://wikimedia.org/api/rest_v1/media/math/render/svg/f2f5b3e8988330a05df365228a2c3fecf1e77b16)
![{\displaystyle \sum _{k=f_{m-1}}^{f_{m+1}}\left|X[k]\right|^{2}B_{m}[k]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/e469b00bb121cc503928d58114e02f0580510a62)
![{\displaystyle X[k]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/b44d31b5739397a3a3a58892804677840e85bb2a)
![{\displaystyle B_{m}[k]}](https://wikimedia.org/api/rest_v1/media/math/render/svg/a08774ad3bcfc641065d34fe5c3d17a37448d2b0)
