登录
首页 » Unix_Linux » gnuradio-ofdm-low-rate

gnuradio-ofdm-low-rate

于 2021-03-24 发布 文件大小:197KB
0 242
下载积分: 1 下载次数: 93

代码说明:

  应用于gnuradio usrp平台的ofdm低速率通信(gnuradio usrp)

文件列表:

gnuradio ofdm 低速率通信
........................\blks2impl
........................\.........\am_demod.py,2838,2009-01-22
........................\.........\am_demod.pyc,2633,2011-10-11
........................\.........\channel_model.py,931,2009-04-27
........................\.........\channel_model.pyc,243,2011-10-11
........................\.........\cpm.py,8851,2009-01-22
........................\.........\cpm.pyc,6297,2011-10-11
........................\.........\d8psk.py,14527,2009-01-22
........................\.........\d8psk.pyc,11678,2011-10-11
........................\.........\dbpsk.py,14889,2009-01-22
........................\.........\dbpsk.pyc,11754,2011-10-11
........................\.........\dqpsk.py,14675,2009-01-22
........................\.........\dqpsk.pyc,11932,2011-10-11
........................\.........\filterbank.py,5981,2009-01-22
........................\.........\filterbank.pyc,5247,2011-10-11
........................\.........\fm_demod.py,4236,2009-01-22
........................\.........\fm_demod.pyc,4137,2011-10-11
........................\.........\fm_emph.py,4143,2009-01-22
........................\.........\fm_emph.pyc,2112,2011-10-11
........................\.........\gmsk.py,10767,2009-01-22
........................\.........\gmsk.pyc,9077,2011-10-11
........................\.........\logpwrfft.py,5223,2009-01-22
........................\.........\logpwrfft.pyc,6028,2011-10-11
........................\.........\Makefile,33056,2011-10-11
........................\.........\Makefile.am,1520,2009-04-27
........................\.........\Makefile.in,32745,2011-10-11
........................\.........\nbfm_rx.py,3341,2009-01-22
........................\.........\nbfm_rx.pyc,2330,2011-10-11
........................\.........\nbfm_tx.py,3581,2009-01-22
........................\.........\nbfm_tx.pyc,2824,2011-10-11
........................\.........\ofdm.py,28890,2011-03-25
........................\.........\ofdm.pyc,24537,2011-10-11
........................\.........\ofdm_receiver.py,8139,2011-03-25
........................\.........\ofdm_receiver.pyc,4689,2011-10-11
........................\.........\ofdm_receiver.py~,7847,2011-10-27
........................\.........\ofdm_sync_fixed.py,1915,2009-01-22
........................\.........\ofdm_sync_fixed.pyc,1431,2011-10-11
........................\.........\ofdm_sync_ml.py,7345,2009-01-22
........................\.........\ofdm_sync_ml.pyc,4278,2011-10-11
........................\.........\ofdm_sync_pn.py,5180,2009-01-22
........................\.........\ofdm_sync_pn.pyc,3145,2011-10-11
........................\.........\ofdm_sync_pnac.py,5845,2009-01-22
........................\.........\ofdm_sync_pnac.pyc,3999,2011-10-11
........................\.........\pkt.py,6570,2009-01-22
........................\.........\pkt.pyc,5881,2011-10-11
........................\.........\psk.py,2720,2009-01-22
........................\.........\psk.pyc,1783,2011-10-11
........................\.........\qam.py,3038,2009-01-22
........................\.........\qam.pyc,1963,2011-10-11
........................\.........\qam16.py,7599,2009-01-22
........................\.........\qam16.pyc,6378,2011-10-11
........................\.........\qam256.py,7616,2009-01-22
........................\.........\qam256.pyc,6394,2011-10-11
........................\.........\qam64.py,7612,2009-01-22
........................\.........\qam64.pyc,6390,2011-10-11
........................\.........\qam8.py,7584,2009-04-15
........................\.........\qam8.pyc,6408,2011-10-11
........................\.........\rational_resampler.py,5105,2009-01-22
........................\.........\rational_resampler.pyc,4998,2011-10-11
........................\.........\standard_squelch.py,2950,2009-01-22
........................\.........\standard_squelch.pyc,2734,2011-10-11
........................\.........\stream_to_vector_decimator.py,3168,2009-01-22
........................\.........\stream_to_vector_decimator.pyc,3710,2011-10-11
........................\.........\wfm_rcv.py,2753,2009-01-22
........................\.........\wfm_rcv.pyc,1850,2011-10-11
........................\.........\wfm_rcv_fmdet.py,9884,2009-04-27
........................\.........\wfm_rcv_fmdet.pyc,3515,2011-10-11
........................\.........\wfm_rcv_pll.py,9999,2009-04-15
........................\.........\wfm_rcv_pll.pyc,3557,2011-10-11
........................\.........\wfm_tx.py,3154,2009-01-22
........................\.........\wfm_tx.pyc,2247,2011-10-11
........................\.........\__init__.py,22,2009-01-22
........................\.........\__init__.pyc,158,2011-10-11
........................\ofdm
........................\....\.~lock.ofdm_frame_sink_c.dat#,0,2011-10-27
........................\....\benchmark_ofdm.py,7256,2009-04-27
........................\....\benchmark_ofdm_rx.py,8806,2011-10-28
........................\....\benchmark_ofdm_rx.py~,8799,2011-10-28
........................\....\benchmark_ofdm_tx.py,9103,2010-12-27
........................\....\fftshift.py,1196,2009-01-22
........................\....\fusb_options.py,1236,2009-01-22
........................\....\fusb_options.pyc,729,2011-10-27
........................\....\Makefile.am,1167,2009-05-24
........................\....\Makefile.in,31540,2009-07-15
........................\....\ofdm_mod_demod_test.py,38561,2009-01-22
........................\....\ofdm_sync.m,561,2009-01-22
........................\....\ofdm_sync_pn.m,551,2009-01-22
........................\....\pick_bitrate.py,5446,2009-01-22
........................\....\pick_bitrate.pyc,4377,2011-10-27
........................\....\plot_ofdm.m,2137,2009-01-22
........................\....\receive_path.py,3399,2009-01-22
........................\....\receive_path.pyc,3030,2011-10-27
........................\....\transmit_path.py,3410,2009-01-22
........................\....\transmit_path.pyc,3015,2011-10-27
........................\....\tunnel.py,16720,2009-01-22

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

  • fuzzynetme
    模糊神经网络的源码,课程设主计.主要用来识别电子鼻的信号.(FNN source, the Comptroller course is set up. Primarily used to identify the electronic nose signal.)
    2006-10-14 22:37:35下载
    积分:1
  • 90407722
    2D非连续性力学分析,巴黎六大硕士课题,可以下载 不错的(2 d non continuity mechanics analysis, six master s project in Paris, you can download the good)
    2017-05-14 06:33:43下载
    积分:1
  • clients use NetMeeting, The server can use mfc.exe fairly good results
    客户端使用NetMeeting,服务端使用mfc.exe可以获得比较好的效果-clients use NetMeeting, The server can use mfc.exe fairly good results
    2022-01-28 23:16:00下载
    积分:1
  • 这是一个Flash制作的综合搜索引擎实例! 上面加了个Flash计数器!下载后有Fla源文件,...
    这是一个Flash制作的综合搜索引擎实例! 上面加了个Flash计数器!下载后有Fla源文件,-This a Flash produced by the integrated search engine examples! Above added a counter Flash! After downloading Fla source,
    2022-10-17 16:55:03下载
    积分:1
  • 25213
    数据报应用源码,程序结合易语言扩展界面支持库和网络通讯支持库,通过数据报组件进行局域网的消息互传。(Datagram application source code , program combined with easy language support library expansion interface and network communications support library , perform LAN datagrams to pass each component message .)
    2016-12-04 09:52:40下载
    积分:1
  • gridguihua
    用栅格法实现路径规划,编程技术比较高端,学习的样板。(Using the grid method to achieve path planning, programming, technology is relatively high, learning model.)
    2020-06-29 13:20:02下载
    积分:1
  • YICHUAN
    基于遗传算法的模糊控制器优化设计,希望对大家有用!(Based on genetic algorithm optimization of fuzzy controller design, hope for all of us!)
    2009-11-08 15:53:07下载
    积分:1
  • Matlab十大算法源代码
    Floyd算法,概率算法,类比法,蒙特卡洛,神经网络,贪婪算法,模拟退火算法,灰色预测,遗传算法等(Floyd algorithm, probability algorithm, analogy method, Monte Carlo, neural network, greedy algorithm, simulated annealing algorithm, grey prediction, genetic algorithm, etc.)
    2017-08-07 09:16:06下载
    积分:1
  • 021156337SA-updata-monituihuo-MATLAB(1)
    SA这是SA改进的模拟退火算法,并用matlab编码实现((This is the improved simulated annealing algorithm SA, and coded using matlab))
    2019-04-27 11:09:02下载
    积分:1
  • bp_test
    说明:  利用人工智能,神经网络中的BP网络实现的,可以有效识别手写体数字(Using artificial intelligence, neural network BP network, and can effectively identify the handwritten numeral)
    2010-04-07 09:50:36下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载