000 | 06533nam a2200721 i 4500 | ||
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001 | 6828872 | ||
003 | IEEE | ||
005 | 20200413152914.0 | ||
006 | m eo d | ||
007 | cr cn |||m|||a | ||
008 | 140521s2014 caua foab 000 0 eng d | ||
020 |
_a9781627052320 _qebook |
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020 |
_z9781627052313 _qpaperback |
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024 | 7 |
_a10.2200/S00575ED1V01Y201403COM010 _2doi |
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035 | _a(CaBNVSL)swl00403387 | ||
035 | _a(OCoLC)880357729 | ||
040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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050 | 4 |
_aTK7872.F5 _bX546 2014 |
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082 | 0 | 4 |
_a621.3815324 _223 |
090 |
_a _bMoCl _e201403COM010 |
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100 | 1 |
_aXie, Bei., _eauthor. |
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245 | 1 | 0 |
_aPartial update least-square adaptive filtering / _cBei Xie, Tamal Bose. |
264 | 1 |
_aSan Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool, _c2014. |
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300 |
_a1 PDF (ix, 105 pages) : _billustrations. |
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336 |
_atext _2rdacontent |
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337 |
_aelectronic _2isbdmedia |
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338 |
_aonline resource _2rdacarrier |
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490 | 1 |
_aSynthesis lectures on communications, _x1932-1708 ; _v# 10 |
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538 | _aMode of access: World Wide Web. | ||
538 | _aSystem requirements: Adobe Acrobat Reader. | ||
500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
500 | _aSeries from website. | ||
504 | _aIncludes bibliographical references (pages 99-103). | ||
505 | 0 | _a1. Introduction -- 1.1 Motivation -- 1.2 Problem statement -- 1.3 Organization of the monograph -- | |
505 | 8 | _a2. Background -- 2.1 Basic adaptive filter models -- 2.2 Adaptive filter models -- 2.2.1 System identification -- 2.2.2 Channel equalization -- 2.3 Existing work on partial update adaptive filters -- 2.4 Basic partial update methods -- 2.4.1 Periodic partial update method -- 2.4.2 Sequential partial update method -- 2.4.3 Stochastic partial update method -- 2.4.4 MMax method -- | |
505 | 8 | _a3. Partial update CMA-based algorithms for adaptive filtering -- 3.1 Motivation -- 3.2 Review of constant modulus algorithms -- 3.3 Partial update constant modulus algorithms -- 3.3.1 Partial update CMA -- 3.3.2 Partial update NCMA -- 3.3.3 Partial update LSCMA -- 3.4 Algorithm analysis for a time-invariant system -- 3.4.1 Steady-state performance of partial update SDCMA -- 3.4.2 Steady-state performance of partial update dynamic LSCMA -- 3.4.3 Complexity of the PU SDCMA and LSCMA -- 3.5 Simulation, a simple FIR channel -- 3.5.1 Convergence performance -- 3.5.2 Steady-state performance -- 3.5.3 Complexity -- 3.6 Algorithm analysis for a time-varying system -- 3.6.1 Algorithm analysis of CMA1-2 and NCMA for a time-varying system -- 3.6.2 Algorithm analysis of LSCMA for a time-varying system -- 3.6.3 Simulation -- 3.7 Conclusion -- | |
505 | 8 | _a4. Partial-update CG algorithms for adaptive filtering -- 4.1 Review of conjugate gradient algorithm -- 4.2 Partial-update CG -- 4.3 Steady-state performance of partial-update CG for a time-invariant system -- 4.4 Steady-state performance of partial-update CG for a time-varying system -- 4.5 Simulations -- 4.5.1 Performance of different PU CG algorithms -- 4.5.2 Tracking performance of the PU CG using the first-order Markov model -- 4.6 Conclusion -- | |
505 | 8 | _a5. Partial-update EDS algorithms for adaptive filtering -- 5.1 Motivation -- 5.2 Review of Euclidean direction search algorithm -- 5.3 Partial update EDS -- 5.4 Performance of the partial-update EDS in a time-invariant system -- 5.5 Performance of the partial-update EDS in a time-varying system -- 5.6 Simulations -- 5.6.1 Performance of the PU EDS in a time-invariant system -- 5.6.2 Tracking performance of the PU EDS using the first-order Markov model -- 5.6.3 Performance comparison of the PU EDS with EDS, PU RLS, RLS, PU CG, and CG -- 5.7 Conclusion -- | |
505 | 8 | _a6. Special applications of partial-update adaptive filters -- 6.1 Application in detecting GSM signals in a local GSM system -- 6.2 Application in image compression and classification -- 6.2.1 Simulations -- 6.3 Conclusion -- | |
505 | 8 | _aBibliography -- Authors' biographies. | |
506 | 1 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | |
510 | 0 | _aCompendex | |
510 | 0 | _aINSPEC | |
510 | 0 | _aGoogle scholar | |
510 | 0 | _aGoogle book search | |
520 | 3 | _aAdaptive filters play an important role in the fields related to digital signal processing and communication, such as system identification, noise cancellation, channel equalization, and beamforming. In practical applications, the computational complexity of an adaptive filter is an important consideration. The Least Mean Square (LMS) algorithm is widely used because of its low computational complexity (O(N)) and simplicity in implementation. The least squares algorithms, such as Recursive Least Squares (RLS), Conjugate Gradient (CG), and Euclidean Direction Search (EDS), can converge faster and have lower steady-state mean square error (MSE) than LMS. However, their high computational complexity (O(N2)) makes them unsuitable for many real-time applications. A well-known approach to controlling computational complexity is applying partial update (PU) method to adaptive filters. A partial update method can reduce the adaptive algorithm complexity by updating part of the weight vector instead of the entire vector or by updating part of the time. In the literature, there are only a few analyses of these partial update adaptive filter algorithms. Most analyses are based on partial update LMS and its variants. Only a few papers have addressed partial update RLS and Affine Projection (AP). Therefore, analyses for PU least-squares adaptive filter algorithms are necessary and meaningful. | |
530 | _aAlso available in print. | ||
588 | _aTitle from PDF title page (viewed on May 21, 2014). | ||
650 | 0 |
_aAdaptive filters _xDesign and construction. |
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650 | 0 | _aLeast squares. | |
653 | _apartial update | ||
653 | _aadaptive filter | ||
653 | _aLSCMA | ||
653 | _aRLS | ||
653 | _aEDS | ||
653 | _aCG | ||
700 | 1 |
_aBose, Tamal., _eauthor. |
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776 | 0 | 8 |
_iPrint version: _z9781627052313 |
830 | 0 | _aSynthesis digital library of engineering and computer science. | |
830 | 0 |
_aSynthesis lectures on communications ; _v# 10. _x1932-1708 |
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856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/servlet/opac?bknumber=6828872 |
856 | 4 | 0 |
_3Abstract with links to full text _uhttp://dx.doi.org/10.2200/S00575ED1V01Y201403COM010 |
999 |
_c562074 _d562074 |