Search - LATTICE REDUCTION

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[Data structs] WinNTL-5_3_1 DL : 0: 密码学界牛人Victor Shoup用C++编写数论类库。 NTL is a high-performance, portable C++ library providing data structures and algorithms for arbitrary length integers for vectors, matrices, and polynomials over the integers and over finite fields and for arbitrary precision floating point arithmetic. NTL provides high quality implementations of state-of-the-art algorithms for: * arbitrary length integer arithmetic and arbitrary precision floating point arithmetic * polynomial arithmetic over the integers and finite fields including basic arithmetic, polynomial factorization, irreducibility testing, computation of minimal polynomials, traces, norms, and more * lattice basis reduction, including very robust and fast implementations of Schnorr-Euchner, block Korkin-Zolotarev reduction, and the new Schnorr-Horner pruning heuristic for block Korkin-Zolotarev * basic linear algebra over the integers, finite fields, and arbitrary precision floating point numbers. -Password academic Victor Shoup cattle were used C++ Preparation of number theory class. NTL is a high-performance, portable C++ Library providing data structures and algorithms for arbitrary length integers for vectors, matrices, and polynomials over the integers and over finite fields and for arbitrary precision floating point arithmetic.NTL provides high quality implementations of state-of-the-art algorithms for:* arbitrary length integer arithmetic and arbitrary precision floating point arithmetic* polynomial arithmetic over the integers and finite fields including basic arithmetic, polynomial factorization, irreducibility testing, computation of minimal polynomials, traces, norms, and more* lattice basis reduction, including very robust and fast implementations of Schnorr-Euchner, block Korkin-Zolotarev reduction, and the new Schnorr-Horner pruning heuristic for block Korkin-Zolotarev* basic linear algebra over the integers, finite fields, and arbitrary precision floating point numbers.
Update : 2025-02-19 Size : 746kb Publisher : yangmuxiang
[Windows Develop] pkcs DL : 0: Public-Key Cryptosystems from Lattice Reduction Problems
Update : 2025-02-19 Size : 126kb Publisher : dimchik19
[Other] LRAD_MMSE DL : 1: Lattice Reduction Aided Detector for Spatial Multiplexing MIMO system. It is implemented by MATLAB.
Update : 2025-02-19 Size : 9kb Publisher : Junil Ahn
[matlab] LLL DL : 0: LLL格点减少算法的MATLAB实现，程序简单易懂-LLL lattice reduction algorithm of the MATLAB implementation, the program is straightforward
Update : 2025-02-19 Size : 1kb Publisher : 小马哥
[matlab] LR_ZF_THP DL : 0: 基于格点减少的THP预编码，在迫零准则下的格点减少技术-Reduction of grid-based THP precoding, zero forcing criterion in the lattice reduction techniques
Update : 2025-02-19 Size : 12kb Publisher : 小马哥
[matlab] MIMO_MMSE_LR_LD_4QAM DL : 0: this program is lattice reduction aided linear detection for MIMO system for 4-QAM
Update : 2025-02-19 Size : 1kb Publisher : venki
[matlab] LLL_Alogorithm DL : 0: this program is the LLL algorithm used for lattice reduction
Update : 2025-02-19 Size : 1kb Publisher : venki
[matlab] LRA DL : 0: Lattice reduction mimo detection
Update : 2025-02-19 Size : 25kb Publisher : leonardo
[Communication-Mobile] MIMO-Detection-Algorithm- DL : 0: 多入多出(MIMO)系统可以获得比单发单收系统更高的容量，对于MIMO系统，最大似然检测是最优接收，但其指数复杂度难以在实际中应用。针对该问题，结合格缩减理论提出了基于Householder变换的复数域格缩减算法，将该算法和 MIMO次优检测算法相结合，给出了量化判决方法，且该复数域格缩减算法复杂度小于实数域格缩减算法。仿真结果表明，基于Householder变换复数域格缩减的MIMO次优检测算法，通过优化信道矩阵可以得到更好的判决域，取得了逼近最优最大似然检测算法的性能。-Multi-input multi-output (MIMO) systems can achieve more capacity than single input single output systems. For MIMO systems, maximum likelihood detection is the optimum detection but its exponential complexity limits its application. In this paper, a complex lattice reduction algorithm based on householder transform is proposed and combined with MIMO suboptimal detection algorithm. Moreover the complexity of this complex lattice reduction algorithm is lower than that of real lattice reduction algorithm. Simulation results show that MIMO suboptimal detection algorithm based on this complex lattice reduction can approach the optimum performance of maximum likelihood detection by optimizing channel matrix to get better decision domain.
Update : 2025-02-19 Size : 893kb Publisher : 蜡笔
[Communication-Mobile] Lattice-reduction-aideddetection DL : 0: 针对多输入多输出空间相关信道环境,提出了一种基于格规约理论的最小均方误差检测算法.该算法考虑了空间相关性的影响,利用复数Lenstra-Lenstra-Lovász格规约算法克服了传统的线性最小均方误差检测器分集阶数随相关系数增加而减小的缺点,使检测到的信号在高信噪比下可以达到比传统算法低个数量级的误码率.理论分析与仿真结果表明,在信道为Kronecker相关平坦衰落模型下,接收端采用最小均方误差信道估计,发射端采用QPSK调制未使用信道编码,当比特信噪比大于18dB时,基于格规约理论的最小均方误差检测器的误码率低于传统最小均方误差检测器的误码率发射端采用(2,1,3)卷积码、接收端采用硬判决Viterbi译码,当信噪比大于16dB时,基于格规约理论的最小均方误差检测器的误码率低于传统最小均方误差检测器的误码率,且基于格规约理论的最小均方误差检测器的分集阶数不受相关系数的影响,等于接收天线数N.-Toovercomethedrawbackthatthediversityorderofthetraditionallinear MMSEdetection algorithmdecreaseswiththeincreaseofthecorrelationcoefficient,alattice-reduction-aidedMMSE(LRAMMSE) detectionalgorithmisproposedforspatialcorrelatedMIMOchannels.TheLRA-MMSEdetection algorithmconsiderstheeffectofspatialcorrelationinthealgorithm designandtakesadvantageofthe complexLenstra-Lenstra-Lovász(LLL)algorithmsothatitsBER(biterrorrate)isseveralordersof magnitudesmallerthanthatofthetraditionallinearMMSEdetectionatahighSNR(signaltonoiseratio). Theoreticalanalysisandsimulationresultsshowthatwith QPSK modulationandthe MMSEchannel estimatoratthereceiver,theuncodedBERoftheLRA-MMSEdetectorislowerthanthatofthetraditional linearMMSEdetectorifthebitSNR(Eb/N0)isgreaterthan18dB,whilethecodedBERoftheLRAMMSEdetectorislowerthanthatofthetraditionallinearMMSEdetectorifEb/ N0isgreaterthan16dB when(2,1,3)convolutionalchannelcodingandViterbidecodingareadoptedundertheKroneckercorrelated flatfadingchannel.Furthermo
Update : 2025-02-19 Size : 600kb Publisher : jgw
[Other] 01-Lattice-Reduction DL : 0: 基于不同算法格约减技术的理论分析与实际应用-Reduction techniques based on different algorithms grid theory analysis and practical application
Update : 2025-02-19 Size : 899kb Publisher : 袁腾飞
[Internet-Network] LR_THP DL : 0: 实现格基约减模代数（LRA-THP）的预编码，经过调试-Achieve lattice reduction module algebra (LRA-THP) pre-coding, debugging
Update : 2025-02-19 Size : 12kb Publisher : 贾娜
[Modem program] codes DL : 0: Modified LLL (MLLL) Lattice Reduction Algorithm Original Paper: A Customized Lattice Reduction Multiprocessor for MIMO Detection by Shahriar Shahabuddin et. al.-Modified LLL (MLLL) Lattice Reduction Algorithm Original Paper: A Customized Lattice Reduction Multiprocessor for MIMO Detection by Shahriar Shahabuddin et. al.
Update : 2025-02-19 Size : 8.03mb Publisher : Eng samar
[Software Engineering] LR_simulator DL : 0: matlab code of lattice reduction algorithm with ZF lattice reduction aided with QAM modulation technique
Update : 2025-02-19 Size : 6kb Publisher : Eng samar
[Parallel Port] MLLL DL : 0: MLLL for lattice reduction in MIMO system with QAM constellation -MLLL for lattice reduction in MIMO system with QAM constellation
Update : 2025-02-19 Size : 1kb Publisher : Eng samar
[Industry research] new-LLL-detection DL : 0: 最新的关于格基规约改进算法的应用文章，有很好的借鉴意义-The latest on the application of lattice reduction algorithm to improve the article, there is a good reference
Update : 2025-02-19 Size : 7.05mb Publisher : yrr
[matlab] CLLL DL : 1: 复数LLL算法源代码，对应论文Ying Hung Gan, Cong Ling, and Wai Ho Mow, Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection, IEEE Trans. Signal Processing, vol. 57, pp. 2701-2710, July 2009. -LLL algorithm of lattice reduction for complex-valued lattices Ying Hung Gan, Cong Ling, and Wai Ho Mow, Complex lattice reduction algorithm for low-complexity full-diversity MIMO detection, IEEE Trans. Signal Processing, vol. 57, pp. 2701-2710, July 2009.
Update : 2025-02-19 Size : 1kb Publisher : 熙阳
[matlab] CLLL DL : 0: Complex lattice reduction algortihm
Update : 2025-02-19 Size : 2kb Publisher : Rooman Iltaf
[source in ebook] LRAD_MMSE DL : 0: 格基规约辅助的MMSE检测，程序内容主要包括两部分，为函数程序。-Lattice reduction aided MMSE detection program mainly consists of two parts, as a function of the program.
Update : 2025-02-19 Size : 1kb Publisher : 于晓尘
[matlab] Lattice reduction based MMSE DL : 1: MMSE uses lattice reduction technique to improve the performance in multi user MIMO
Update : 2018-08-23 Size : 8.55kb Publisher : Neelima

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