An Alternative Complexity Reduction Method for Partitioned-Block Frequency-Domain Adaptive Filters
Partitioned-block frequency-domain adaptive filters provide lower algorithmic complexity than their time-domain counterparts. However, for certain applications, it is desirable to reduce complexity even further. This can be achieved by reducing the complexity of the constraint, or linearization, of...
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| Veröffentlicht in: | IEEE signal processing letters 2016-05, Vol.23 (5), p.668-672 |
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| container_title | IEEE signal processing letters |
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| creator | Valero, Maria Luis Mabande, Edwin Habets, Emanuel A. P. |
| description | Partitioned-block frequency-domain adaptive filters provide lower algorithmic complexity than their time-domain counterparts. However, for certain applications, it is desirable to reduce complexity even further. This can be achieved by reducing the complexity of the constraint, or linearization, of the circular correlations. Existing methods are either suboptimal or are not sufficiently flexible in terms of the design parameters. Therefore, an alternative complexity reduction method is proposed, which achieves near-optimal performance and which, in addition, is flexible in terms of the design parameters, as these can be arbitrarily chosen. |
| doi_str_mv | 10.1109/LSP.2016.2543964 |
| format | Article |
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Therefore, an alternative complexity reduction method is proposed, which achieves near-optimal performance and which, in addition, is flexible in terms of the design parameters, as these can be arbitrarily chosen.</description><subject>Acoustic echo cancellation</subject><subject>Acoustics</subject><subject>Complexity theory</subject><subject>Convolution</subject><subject>frequency-domain adaptive filters</subject><subject>Frequency-domain analysis</subject><subject>Microphones</subject><subject>Signal processing algorithms</subject><subject>system identification</subject><subject>Time-domain analysis</subject><subject>time-frequency analysis</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE1LAzEQhoMoWKt3wcuC5635TvZYq1WhYvHjHLKbLEa3zZqkYv-9WVs8zTA88zDzAnCO4AQhWF0tXpYTDBGfYEZJxekBGCHGZIkJR4e5hwKWVQXlMTiJ8QNCKJFkI1BP18W0SzasdXLftpj5Vd_ZH5e2xbM1myY5vy4ebXr3pmh9KJY6JDcMrSmvO998FvNgvzZ23WzLG7_SLuuM7v9cczeI4yk4anUX7dm-jsHb_PZ1dl8unu4eZtNF2eAKpbJC1nJqNJWEESap5EyThguDKTGm1ZpIXmNpEEKyrQknVd1S2GJBLKYQGTIGlztvH3y-KCb14Tf5ry4qJKRAlGLBMgV3VBN8jMG2qg9upcNWIaiGJFVOUg1Jqn2SeeVit-Kstf-4oISLTPwCR0JvSg</recordid><startdate>201605</startdate><enddate>201605</enddate><creator>Valero, Maria Luis</creator><creator>Mabande, Edwin</creator><creator>Habets, Emanuel A. 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| source | IEEE Electronic Library (IEL) |
| subjects | Acoustic echo cancellation Acoustics Complexity theory Convolution frequency-domain adaptive filters Frequency-domain analysis Microphones Signal processing algorithms system identification Time-domain analysis time-frequency analysis |
| title | An Alternative Complexity Reduction Method for Partitioned-Block Frequency-Domain Adaptive Filters |
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