登录
首页 » matlab » spectre-master

spectre-master

于 2019-01-13 发布 文件大小:390KB
0 185
下载积分: 1 下载次数: 4

代码说明:

  The implementation in 1.5x faster than MATLAB 2018a mex code generation (GCC 7.3, Intel Core i7-4790K) for single core mode. * Support GCC, Clang, Intel Compiler. Intel Compiler 2018 in 2.75x faster than GCC 7.3 for single core mode. * OpenMP for SCMA signals loop (outer loop) * `intel_compiler_opt` branch with additional oprimization for Intel Compiler (the fatest results) ## Build * Edit `MATLAB_DIR` in Makefile. * Run `make`. ## Future work Improve of performance.

文件列表:

spectre-master, 0 , 2018-07-04
spectre-master\README.md, 2352 , 2018-07-04
spectre-master\awgn, 0 , 2018-07-04
spectre-master\awgn\betaq_low_v2.m, 4043 , 2018-07-04
spectre-master\awgn\betaq_up_v2.m, 3031 , 2018-07-04
spectre-master\awgn\biawgn_stats.m, 828 , 2018-07-04
spectre-master\awgn\cap_awgn.m, 48 , 2018-07-04
spectre-master\awgn\converse.m, 173 , 2018-07-04
spectre-master\awgn\feinstein_approx.m, 951 , 2018-07-04
spectre-master\awgn\gallager_ach.m, 3250 , 2018-07-04
spectre-master\awgn\kappa.m, 3294 , 2018-07-04
spectre-master\awgn\kappa_inf.m, 221 , 2018-07-04
spectre-master\awgn\kappabeta_ach.m, 683 , 2018-07-04
spectre-master\awgn\ncx2log.m, 1492 , 2018-07-04
spectre-master\awgn\normapx_awgn.m, 186 , 2018-07-04
spectre-master\awgn\normapx_biawgn.m, 148 , 2018-07-04
spectre-master\awgn\optpower.m, 362 , 2018-07-04
spectre-master\awgn\plot_v3.m, 3730 , 2018-07-04
spectre-master\awgn\shannon_ach2.m, 9468 , 2018-07-04
spectre-master\awgn\universe, 0 , 2018-07-04
spectre-master\awgn\universe\load_awgncodes.m, 9154 , 2018-07-04
spectre-master\awgn\universe\me_ldpc, 0 , 2018-07-04
spectre-master\awgn\universe\me_ldpc\.gitignore, 18 , 2018-07-04
spectre-master\awgn\universe\me_ldpc\compute_ab.c, 7802 , 2018-07-04
spectre-master\awgn\universe\me_ldpc\me_multin.m, 2184 , 2018-07-04
spectre-master\awgn\universe\me_ldpc\me_snr.m, 570 , 2018-07-04
spectre-master\awgn\universe\output, 0 , 2018-07-04
spectre-master\awgn\universe\output\.gitignore, 12 , 2018-07-04
spectre-master\awgn\universe\plot_universe.m, 7858 , 2018-07-04
spectre-master\awgn\universe\plot_universe_db.m, 3905 , 2018-07-04
spectre-master\bec, 0 , 2018-07-04
spectre-master\bec\converse.m, 264 , 2018-07-04
spectre-master\bec\converse_spec2.m, 2063 , 2018-07-04
spectre-master\bec\dt_ach.m, 1567 , 2018-07-04
spectre-master\bec\gallager_ach.m, 832 , 2018-07-04
spectre-master\bec\mdist.m, 401 , 2018-07-04
spectre-master\bec\normapx.m, 124 , 2018-07-04
spectre-master\bec\plot_all.m, 846 , 2018-07-04
spectre-master\bec\sumlog2.m, 745 , 2018-07-04
spectre-master\bi-awgn, 0 , 2018-07-04
spectre-master\bi-awgn\converse_mc.m, 12437 , 2018-07-04
spectre-master\bi-awgn\example_per.m, 1068 , 2018-07-04
spectre-master\bi-awgn\example_per.mat, 2776 , 2018-07-04
spectre-master\bi-awgn\example_speff.m, 1240 , 2018-07-04
spectre-master\bi-awgn\example_speff.mat, 1965 , 2018-07-04
spectre-master\block-fading-PAT-SNN, 0 , 2018-07-04
spectre-master\block-fading-PAT-SNN\QPSK_Alamouti_eps.m, 1156 , 2018-07-04
spectre-master\block-fading-PAT-SNN\QPSK_SIMO_eps.m, 1176 , 2018-07-04
spectre-master\block-fading-PAT-SNN\eps_RCUs.m, 183 , 2018-07-04
spectre-master\block-fading-PAT-SNN\eps_RCUs_Alamouti_stable.m, 3481 , 2018-07-04
spectre-master\block-fading-PAT-SNN\eps_RCUs_SPA.m, 994 , 2018-07-04
spectre-master\block-fading-PAT-SNN\eps_RCUs_stable.m, 3357 , 2018-07-04
spectre-master\block-fading-PAT-SNN\idgallagerqpsknn.m, 813 , 2018-07-04
spectre-master\block-fading-PAT-SNN\idsamples.m, 1128 , 2018-07-04
spectre-master\block-fading-PAT-SNN\idsamples_Alamouti.m, 1982 , 2018-07-04
spectre-master\block-fading-PAT-SNN\qpsksample.m, 385 , 2018-07-04
spectre-master\block-fading-PAT-SNN\randcn.m, 400 , 2018-07-04
spectre-master\block-fading-PAT-SNN\relspread.m, 406 , 2018-07-04
spectre-master\bsc, 0 , 2018-07-04
spectre-master\bsc\betanq.m, 2424 , 2018-07-04
spectre-master\bsc\converse.m, 219 , 2018-07-04
spectre-master\bsc\dt_ach.m, 2262 , 2018-07-04
spectre-master\bsc\gallager_ach.m, 867 , 2018-07-04
spectre-master\bsc\normapx.m, 206 , 2018-07-04
spectre-master\bsc\plot_all.m, 1163 , 2018-07-04
spectre-master\bsc\precise_rand.m, 799 , 2018-07-04
spectre-master\bsc\rcu_ach.m, 1585 , 2018-07-04
spectre-master\bsc\sumlog2.m, 822 , 2018-07-04
spectre-master\documentation, 0 , 2018-07-04
spectre-master\documentation\.gitignore, 127 , 2018-07-04
spectre-master\documentation\IEEEabrv.bib, 17463 , 2018-07-04
spectre-master\documentation\Makefile, 5063 , 2018-07-04
spectre-master\documentation\confs-jrnls.bib, 37228 , 2018-07-04
spectre-master\documentation\defs_giuseppe.tex, 1256 , 2018-07-04
spectre-master\documentation\manual.tex, 62676 , 2018-07-04
spectre-master\documentation\plots, 0 , 2018-07-04
spectre-master\documentation\plots\awgn_plot3_ex.eps, 16870 , 2018-07-04
spectre-master\documentation\plots\awgn_plot3_ex.pdf, 7843 , 2018-07-04
spectre-master\documentation\plots\bec_example.eps, 12648 , 2018-07-04
spectre-master\documentation\plots\bec_example.pdf, 5084 , 2018-07-04
spectre-master\documentation\plots\biawgn_plot1_ex.pdf, 16637 , 2018-07-04
spectre-master\documentation\plots\block-csir-mimo.png, 19080 , 2018-07-04
spectre-master\documentation\plots\bsc_example.eps, 12822 , 2018-07-04
spectre-master\documentation\plots\bsc_example.pdf, 5102 , 2018-07-04
spectre-master\documentation\plots\compress_gms.eps, 12340 , 2018-07-04
spectre-master\documentation\plots\energy_awgn.eps, 15752 , 2018-07-04
spectre-master\documentation\plots\energy_awgn.pdf, 6320 , 2018-07-04
spectre-master\documentation\plots\energy_nocsi.eps, 14211 , 2018-07-04
spectre-master\documentation\plots\energy_nocsi.pdf, 5879 , 2018-07-04
spectre-master\documentation\plots\quasi-static-simo.eps, 13904 , 2018-07-04
spectre-master\documentation\plots\quasi-static-simo.pdf, 5700 , 2018-07-04
spectre-master\documentation\plots\snr6eps03M2.pdf, 54666 , 2018-07-04
spectre-master\documentation\refs.bib, 4061 , 2018-07-04
spectre-master\energy-per-bit, 0 , 2018-07-04
spectre-master\energy-per-bit\energy_awgn_ach.m, 889 , 2018-07-04
spectre-master\energy-per-bit\energy_awgn_conv.m, 333 , 2018-07-04
spectre-master\energy-per-bit\energy_awgn_normapx.m, 255 , 2018-07-04
spectre-master\energy-per-bit\energy_csir_conv.m, 1782 , 2018-07-04
spectre-master\energy-per-bit\energy_nocsi_ach_ht.m, 1450 , 2018-07-04
spectre-master\energy-per-bit\energy_nocsi_ach_ml.m, 4122 , 2018-07-04

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • cfg命令_peakGrouping_峰值检测
    说明:  解释TI官方雷达cfg配置文件中的分值检测(Explain the score detection in the CFG configuration file of TI official radar)
    2020-06-22 18:20:02下载
    积分:1
  • UrbanChallenge,Cornell队技术报告,2007年
    UrbanChallenge,Cornell队技术报告,2007年-UrbanChallenge, Cornell team technical reports, 2007
    2022-02-25 13:57:27下载
    积分:1
  • ASN。1格式的编码解码的C++编程指南。
    asn.1格式的编码解码的C++编程指南。-asn.1 format codec C++ Programming Guide.
    2022-02-06 20:58:57下载
    积分:1
  • 电池SOC的UKF算法估计
    说明:  电池SOC的UKF算法估计,实时对电池荷电状态进行估计和控制。(UKF Algorithm of SOC is used to estimate and control the state of charge of battery in real time.)
    2021-03-07 23:59:29下载
    积分:1
  • Automatic segmentation TPS Kamwa2007
    Automatic segmentation TPS Kamwa2007
    2020-06-18 17:40:02下载
    积分:1
  • ForTest
    这是一个完整的例子,并且能正确运行,谢谢侯老师,并且谢谢平台的支持。(This is a complete example, and can run correctly. Thank you, Mr. Hou, and thank you for the support of the platform.)
    2020-06-18 19:00:02下载
    积分:1
  • kaihuantuiwan
    说明:  在matlab的simulink平台搭建了推挽变换器的仿真(Simulation of push-pull converter based on MATLAB Simulink platform)
    2020-12-21 00:39:10下载
    积分:1
  • dis_PID
    说明:  PID控制的S函数程序,可以实现SIMULINK中的PIDnn控制(PID control / S-function)
    2018-12-27 12:02:26下载
    积分:1
  • 基于可编程跨导运算放大器POTA低通有源滤波器设计。该文给出了基于可编程跨导运算放大器(POTA)的有源滤波器设计方法,能在一定范围内实现跨导值程控调节, 提高...
    基于可编程跨导运算放大器POTA低通有源滤波器设计。该文给出了基于可编程跨导运算放大器(POTA)的有源滤波器设计方法,能在一定范围内实现跨导值程控调节, 提高调节精度和准确度。并且利用Jacobi 法求解相似对角形矩阵,避免解高次方程的难题。所设计的有源滤波电路不易受分布电容的影响,稳定性好、灵敏度低。本文给出了设计实例,显示了该方法的优点。-Based on programmable transconductance operational amplifier POTA low-pass active filter design. In this paper, based on the programmable transconductance amplifier (POTA) of the active filter design method that can realize in a certain range transconductance value of program-controlled adjustment, improve precision and accuracy regulation. Jacobi method and use a similar matrix of angular, high-equation solution to avoid problems. Designed active filter circuit less susceptible to the effects of distributed capacitance, good stability, low sensitivity. In this paper, design examples, showing the advantages of the method.
    2022-10-29 13:30:03下载
    积分:1
  • BLDCM
    基于matlab的无刷直流电动机模型的模拟(brushless DC motor simulation model)
    2007-05-25 09:57:39下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载