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Expected complexity of the out-sphere decoder

Efficient VLSI Implementation of Soft-input Soft-output Fixed-complexity Sphere Decoder

Efficient VLSI Implementation of Soft-input Soft-output Fixed-complexity Sphere Decoder

... channel decoder; Figure 7: Performance comparison among SESD, K-best SD and ...higher complexity, as shown between FSD-16 and FSD-32, and between K-best-8 and ...the complexity of K-best-12 is much ...

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Low Complexity Cordic Architecture for MIMO Decoder

Low Complexity Cordic Architecture for MIMO Decoder

... REFERENCES 1. H. S. Kim, W. Zhu, J. Bhatia, K. Mohammed, A. Shah, and B. Daneshrad, “A practical, hardware friendly MMSE detector for MIMO- OFDM based systems,” EURASIP J. Adv. Signal Process., vol. 2008, p. 94, Jan. ...

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Rapid Prototyping of a Fixed-Throughput Sphere Decoder for MIMO Systems

Rapid Prototyping of a Fixed-Throughput Sphere Decoder for MIMO Systems

... The complexity of the maximum likelihood detector (MLD) is much higher, and would require 65,536 distance calculations per MIMO symbol, making it irrealizable in ...

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Reversible Decoder for Complexity Design and Synthesis of Combinational Circuits in Xilinx

Reversible Decoder for Complexity Design and Synthesis of Combinational Circuits in Xilinx

... reversible decoder are ...the decoder circuit can be generalized. For example,a 3×8 decoder can be designed using a 2×4 decoder followedby 4 fredkin gates, Similarly a 4×16 decoder can ...

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An Iterative SISO Improved Complex Sphere Detection and Decoder for Turbo-MIMO Systems

An Iterative SISO Improved Complex Sphere Detection and Decoder for Turbo-MIMO Systems

... complex sphere detection and decoder algorithm is proposed for signal detection in Turbo-MIMO ...complex sphere detection is concatenated with a SISO Log maximum a posteriori Turbo decoder as ...

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Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models

Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models

... Neural Network Training. All neural network models are trained on the news portion of the parallel data, corresponding to 136K sentences, which we found to be most useful in initial exper- iments. As training data we use ...

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Successive interference cancellation aided sphere decoder for multi-input multi-output systems

Successive interference cancellation aided sphere decoder for multi-input multi-output systems

... novel sphere decoding algorithms for MIMO detection and iterative detection and decoding have been ...The complexity of the proposed sphere decoding algorithms for MIMO detection is significantly ...

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Successive interference cancellation aided sphere decoder for multi input multi output systems

Successive interference cancellation aided sphere decoder for multi input multi output systems

... novel sphere decoding algorithms for MIMO detection and iterative detection and decoding have been ...The complexity of the proposed sphere decoding algorithms for MIMO detection is significantly ...

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Near-Capacity Sphere Decoder Based Detection Schemes for MIMO Wireless Communication Systems

Near-Capacity Sphere Decoder Based Detection Schemes for MIMO Wireless Communication Systems

... the complexity of the tree search is fixed or upper ...computational complexity in Chapter ...computational complexity introduced by the LLL algorithm will be significantly decreased by employing ...

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A Low-Complexity and High-Throughput RTL Design of a BCH (15,7) Decoder

A Low-Complexity and High-Throughput RTL Design of a BCH (15,7) Decoder

... 5 Conclusions We have designed a BCH (15,7) hardware implementation in a combinational circuit instead of a sequential circuit to avoid high computation requirements and iteration processes. The simulation results using ...

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Shell sets out expected timetable of Simplification

Shell sets out expected timetable of Simplification

... the complexity of Shell’s A/B share structure; and • aligning Shell’s tax residence with its country of incorporation in the UK by relocating Board and Executive Committee meetings, and the CEO and CFO, to the UK; ...

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How To Find Out How To Calculate Volume Of A Sphere

How To Find Out How To Calculate Volume Of A Sphere

... For the nearest neighbor problem, if the database has n 1 points and n 2 queries are expected during the lifetime, then take n = n 1 + n 2 and project the database to a random k-dimensional space, where k ≥ 64 ln ...

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Low Complexity Sphere Decoding for V-BLAST Spatial  Multiplexing MIMO

Low Complexity Sphere Decoding for V-BLAST Spatial Multiplexing MIMO

... In matrix format this can be represented as: [R] = [H] × [#] To recover the transmitted data-stream at the receiver it is necessary to perform a considerable amount of signal processing. First the MIMO system ...

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Scale effect analysis of early termination fixed complexity sphere detector

Scale effect analysis of early termination fixed complexity sphere detector

... 5 Numerical results This section is devoted to presenting numerical results that help make the analytic outcomes achieved above more intuitive. Throughout the rest of this section, with- out loss of generality, we ...

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Iterative Soft-In Soft-Out Sphere Detection for MIMO Systems

Iterative Soft-In Soft-Out Sphere Detection for MIMO Systems

... for complexity reduced iterative MIMO ...high complexity. In this paper we introduce how SISO sphere detectors based on enhancements of single tree search and tuple search algorithms can be ...

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Device discovery for D2D communication in in band cellular networks using sphere decoder like (SDL) algorithm

Device discovery for D2D communication in in band cellular networks using sphere decoder like (SDL) algorithm

... Discovery ratio depends upon the searching power of each device that lies in the cellular network area as expressed in (6). Devices in the cell area make lattice structure, and each device from the lattice has a radius R ...

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Complexity and Analysis of Sphere Decoding and QRD-M Detection for MIMO Communication System

Complexity and Analysis of Sphere Decoding and QRD-M Detection for MIMO Communication System

... the complexity of SD is highly dependent on many factors, namely the SNR and the choice of initial ...exponential complexity. One perception about the SD complexity is that it is a random variable, ...

5

Reduced Complexity Sphere Decoding for Square QAM via a New Lattice Representation

Reduced Complexity Sphere Decoding for Square QAM via a New Lattice Representation

... For the 4x4 system, the first two levels of the tree which correspond to the imaginary and real parts of the symbol ˆs 4 are treated the same way as explained in Step 1 of the algorithm. For each survivor ˆs 4 , the ...

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Sphere Decoding in Multi user Multiple Input Multiple Output with reduced complexity

Sphere Decoding in Multi user Multiple Input Multiple Output with reduced complexity

... In SD the computation of range is the most troublesome function, and it is to be done at the preprocessing level. In the event when the radius is too broad, normal processing cycle turns out to be very high, which ...

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Code Structure And Decoding Complexity  For Double And Tripple-Adjacent Error Correcting Parallel Decoder

Code Structure And Decoding Complexity For Double And Tripple-Adjacent Error Correcting Parallel Decoder

... new decoder, it's been implemented in Highdensity lipoprotein and mapped to some 65-nm ...DAEC decoder. Therefore, the entire syndrome can be used for comparisons out of all cases to make sure that ...

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