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| 001 | 384072 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102122219.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220722s2022 sz a o |||| 0|eng d | ||
| 020 | _a9783031045127 | ||
| 024 | 7 |
_a10.1007/978-3-031-04512-7 _2doi |
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| 040 |
_bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTK7872.D48 _b2022 EB |
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| 100 | 1 |
_aBello, Ibrahim A. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9685722 |
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| 245 | 1 | 0 |
_aAlgorithms and VLSI Implementations of MIMO Detection _cby Ibrahim A. Bello, Basel Halak |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
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| 300 |
_a1 recurso en línea (XXI, 150 páginas) _b43 ilustraciones, 6 ilustraciones a color |
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| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
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| 505 | 0 | _aIntroduction -- Background -- MIMO Preprocessing -- Sphere Decoder -- K-best Detector -- Conclusion and Future Directions. | |
| 520 | _aThis book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation and modelling steps and register transfer level modelling using hardware description languages. Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail; Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput; Discusses design tradeoffs that will guide readers' efforts when implementing MIMO algorithms in hardware; Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements. | ||
| 988 | _aSpringer_Engineering_2022 | ||
| 650 | 7 |
_2embne _9140157 _aDetectores |
|
| 650 | 7 |
_2embne _9158044 _aSistemas de comunicación inalámbricos |
|
| 700 | 1 |
_aHalak, Basel _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031045110 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031045134 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031045141 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-04512-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b12/2022 _dz _eb _zSI |
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