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020 _a3319496794
020 _a9783319496795
020 _z3319496786
020 _z9783319496788
035 _a(OCoLC)967891292
_z(OCoLC)967512001
_z(OCoLC)967681745
_z(OCoLC)967840338
_z(OCoLC)967844355
_z(OCoLC)970734185
_z(OCoLC)971040738
_z(OCoLC)971088880
_z(OCoLC)973120944
_z(OCoLC)974650732
_z(OCoLC)980215135
_z(OCoLC)980921420
_z(OCoLC)981103453
_z(OCoLC)985038357
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050 4 _aTK7888.4
_bC667 2016 EB
245 0 0 _aComputing platforms for software-defined radio
_cWaqar Hussain, Jari Nurmi, Jouni Isoaho, Fabio Garzia, editors.
264 1 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (241 páginas)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
500 _a6.4.1 WCDMA Cell Search.
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
504 _aIncluye referencias bibliográficas
505 0 _aPreface; Acknowledgements; Contents; Contributors; 1 The Evolution of Software-Defined Radio: An Introduction; Part-I: Architectures, Designs, and Implementations; Part-II: Software-Based Radio Cognition and Implementation Tools; Reference; Part I Architectures, Designs and Implementations; 2 Design Transformation from a Single-Core to a Multi-Core Architecture Targeting Massively Parallel Signal Processing Algorithms; 2.1 Introduction; 2.2 Existing State of the Art; 2.2.1 MORPHEUS; 2.2.2 P2012; 2.2.3 NineSilica; 2.2.4 RAW; 2.2.5 CRISP; 2.2.6 Intel's Single-Chip Cloud Computer; 2.2.7 TILE64™
505 8 _a2.3 Scalable CGRAs2.4 The Network-on-Chip; 2.5 Hardware/Software Integration; 2.5.1 Loading Configuration and Data; 2.5.2 Context Enabling and Execution; 2.5.3 Synchronization; 2.6 Heterogeneous Accelerator-Rich Reconfigurable Platform; 2.7 Application Mapping; 2.8 Measurement and Estimation; 2.9 Evaluation and Comparisons; 2.10 Conclusions; References; 3 The CoreVA-MPSoC: A Multiprocessor Platform for Software-Defined Radio; 3.1 Introduction; 3.2 Related Work; 3.3 The CoreVA-MPSoC Architecture; 3.3.1 CoreVA VLIW CPU; 3.3.2 CPU Cluster; 3.3.3 Network-on-Chip; 3.3.3.1 Switch Box.
505 8 _a3.3.3.2 Network Interface3.3.3.3 Globally Asynchronous Locally Synchronous; 3.4 Implementation Results in a 28nm FD-SOI Technology; 3.4.1 CoreVA VLIW CPU Implementation Results; 3.4.2 MPSoC Implementation Results; 3.5 Programming the CoreVA-MPSoC; 3.5.1 Communication Model; 3.5.2 StreamIt Language and Compiler; 3.6 Mapping SDR Algorithms to the CoreVA-MPSoC; 3.6.1 Mapping SDR Algorithms to a Single CPU VLIW Core; 3.6.2 Benchmark Results for CoreVA-MPSoC; 3.7 Summary; References; 4 Design and Implementation of IEEE 802.11a/g Receiver Blocks on a Coarse-Grained Reconfigurable Array.
505 8 _a4.1 Introduction4.2 Platform Architecture; 4.3 Design Implementation and Algorithm Mapping; 4.3.1 Time Synchronization; 4.3.2 Frequency Offset Estimation; 4.3.3 Channel Estimation; 4.4 Experimental Results and Conclusion; References; 5 Reconfigurable Multiprocessor Systems-on-Chip; 5.1 Introduction and Motivation; 5.2 Background: Reconfigurable Hardware; 5.3 Dynamic and Partial Reconfiguration; 5.3.1 Benefits of Dynamic and Partial Reconfiguration for Software Defined Radio Applications; 5.4 Reconfigurable Multiprocessor Systems-on-Chip.
505 8 _a5.4.1 rMIMD: Multiprocessors with Reconfigurable Instruction Streams5.4.2 MIrMD: Multiprocessors with Reconfigurable Data Streams; 5.4.3 rMIrMD: Multiprocessors with Reconfigurable Instruction and Reconfigurable Data Streams; 5.4.3.1 RAMPSoC; 5.4.3.2 RAR-MPSoC; 5.5 Conclusion and Outlook; References; 6 Ninesilica: A Homogeneous MPSoC Approach for SDR Platforms; 6.1 Introduction; 6.2 Ninesilica Architecture; 6.2.1 Network-on-Chip; 6.2.2 Power Management; 6.2.3 I/O Management; 6.2.4 Hardware Implementation; 6.3 Cases Studies; 6.3.1 WCDMA; 6.3.2 OFDM; 6.4 Analysis of Results.
520 3 _aThis book addresses Software-Defined Radio (SDR) baseband processing from the computer architecture point of view, providing a detailed exploration of different computing platforms by classifying different approaches, highlighting the common features related to SDR requirements and by showing pros and cons of the proposed solutions. Coverage includes architectures exploiting parallelism by extending single-processor environment (such as VLIW, SIMD, TTA approaches), multi-core platforms distributing the computation to either a homogeneous array or a set of specialized heterogeneous processors, and architectures exploiting fine-grained, coarse-grained, or hybrid reconfigurability. Describes a computer engineering approach to SDR baseband processing hardware; Discusses implementation of numerous compute-intensive signal processing algorithms on single and multicore platforms; Enables deep understanding of optimization techniques related to power and energy consumption of multicore platforms using several basic and high-level performance indicators; Includes prototyping details of single and multicore platforms on ASICs and FPGAs.
650 7 _aSoftware
_2embne
_0(OCoLC)fst01124214
_0
_9143838
700 1 _aGarzia, Fabio.
700 1 _aHussain, Waqar,
_eeditor literario
700 1 _aIsoaho, Jouni.
700 1 _aNurmi, Jari.
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-49679-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017B
998 _b02/2018
_dz
_e-
_zSI
999 _c95177
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