搜索资源列表
OFDMPAPR
- 实现降低OFDM的峰均比的源代码，包括SLM PST算法。-OFDM PAPR reduction achieved in the source code, including SLM PST algorithm.
papr
- 内含OFDM 峰均比的仿真程序，选择性映射slm和部分序列pts-OFDM PAPR includes simulation program, selective mapping and partial sequence pts slm
slmpapr2
- papr ofdm slm .it contain report and smatlab simulations.all are working ofdm slm method.slm method
SLM
- 仿真了OFDM中的SLM方法 ，并附有仿真图形，对于初学PAPR的朋友可有用-Simulation of the OFDM in the SLM method, together with simulation graphics, for a friend can be useful for beginners PAPR
SLM
- 是关于OFDM中的PAPR降低方法SLM的MATLAB仿真程序-Is about OFDM PAPR reduction methods in the MATLAB simulation program SLM
slm
- 降低ofdm中峰均比的方法slm的matlab源码 -PAPR reduction method in ofdm slm of matlab source
SLM_16QAM
- SLM解决OFDM系统中存在的PAPR问题，调制方式16QAM-Solve PAPR problem in OFDM system with SLM
slm
- 传统的用SLM方法降低OFDM系统中PAPR仿真验证程序！-The traditional method of using SLM PAPR reduction in OFDM system simulation program!
dct-precoded-SLM-method-for-PAPR-reduction
- dct precoded SLM method for PAPR reduction High Peak to Average Power Ratio (PAPR) is still a most important challenge in Orthogonal Frequency Division Multiplexing (OFDM) system. In this paper, we propose a Discrete Cosine Transform (DCT) p
SLM_Papr_V4
- matlab代码 SLM在OFDM系统中的应用，V=4的情况下-matlab code SLM in OFDM
OFDM
- Matlab code which implements MB-OFDM transmission block as per ECMA 368 standard. OFDM over frequency selective wireless channels simulation code for Peak-to-Average Power Ratio (PAPR) reduction in MIMO OFDM/A system using CMA This is an OFDM s
OFDMxitongjiangdifengpingbiyanjiu
- 正交频分复用(OFDM)技术是一种可以有效对抗符号间干扰(ISI)的高速数据传输技术。OFDM是一种特殊的多载波调制方式，它的基本思想是将高速传输的数据流通过串/并转换，变成在若干个正交的窄带子信道上并行传输的低速数据流。OFDM接收机有三个关键技术：信道估计技术，降低峰均比(PAPR)技术和同步技术。OFDM技术能有效的对抗多径衰落等，有着诸多的优点，但是OFDM有一个发展瓶颈，即OFDM信号的峰均功率比很大，很容易导致OFDM信号的交调失真和系统性能的下降。因而如何降低OFDM信号的峰均功率
dct slm fibonacci mimo
- dct slm fibonacci binary sequences in mimo ofdm
slm_psk_qam
- 解决OFDM系统存在的峰均比过高的新方法，结合SLM和PTS两种常用方法(The new method to solve the problem of high peak-to-average ratio in OFDM systems, combined with two common methods of SLM and PTS)