000 | 03030nam a22005175i 4500 | ||
---|---|---|---|
001 | u376510 | ||
003 | SIRSI | ||
005 | 20160812084416.0 | ||
007 | cr nn 008mamaa | ||
008 | 110725s2011 gw | s |||| 0|eng d | ||
020 |
_a9783642225741 _9978-3-642-22574-1 |
||
040 | _cMX-MeUAM | ||
050 | 4 | _aTK5102.9 | |
050 | 4 | _aTA1637-1638 | |
050 | 4 | _aTK7882.S65 | |
082 | 0 | 4 |
_a621.382 _223 |
100 | 1 |
_aBenesty, Jacob. _eauthor. |
|
245 | 1 | 2 |
_aA Perspective on Stereophonic Acoustic Echo Cancellation _h[recurso electrónico] / _cby Jacob Benesty, Constantin Paleologu, Tomas Gänsler, Silviu Ciochina. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2011. |
|
300 |
_aVI, 139 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aSpringer Topics in Signal Processing, _x1866-2609 ; _v4 |
|
505 | 0 | _aIntroduction -- Problem Formulation -- System Identification with the Wiener Filter -- A Class of Stochastic Adaptive Filters -- A Class of Affine Projection Algorithms -- Recursive Least-Squares Algorithms -- Double-Talk Detection -- Echo and Noise Suppression as a Binaural Noise Reduction Problem -- Experimental Study. | |
520 | _aSingle-channel hands-free teleconferencing systems are becoming popular. In order to enhance the communication quality of these systems, more and more stereophonic sound devices with two loudspeakers and two microphones are deployed. Because of the coupling between loudspeakers and microphones, there may be strong echoes, which make real-time communication very difficult. The best way we know to cancel these echoes is via a stereo acoustic echo canceller (SAEC), which can be modelled as a two-input/two-output system with real random variables. In this work, the authors recast this problem into a single-input/single-output system with complex random variables thanks to the widely linear model. From this new convenient formulation, they re-derive the most important aspects of a SAEC, including identification of the echo paths with adaptive filters, double-talk detection, and suppression. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aComputer science. | |
650 | 0 | _aFourier analysis. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aSignal, Image and Speech Processing. |
650 | 2 | 4 | _aUser Interfaces and Human Computer Interaction. |
650 | 2 | 4 | _aFourier Analysis. |
700 | 1 |
_aPaleologu, Constantin. _eauthor. |
|
700 | 1 |
_aGänsler, Tomas. _eauthor. |
|
700 | 1 |
_aCiochina, Silviu. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642225734 |
830 | 0 |
_aSpringer Topics in Signal Processing, _x1866-2609 ; _v4 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-3-642-22574-1 |
596 | _a19 | ||
942 | _cLIBRO_ELEC | ||
999 |
_c204390 _d204390 |