搜索资源列表
tryGUI
- 超宽带系统链路matlab仿真程序 超宽带系统简单仿真平台，有简单界面.包括可替换的脉冲成型（半余弦脉冲）、IEEE802.15.3a的修正SV信道、最大似然信道估计、Rake接收机等模块，可以实现monte carlo仿真求误码率。可添加多址接入、编码等功能（维特比编解码、帧同步的程序由本人同学编写）。入口主程序uwbsim.m 编解码程序：bin2deci.m；bini2deci.m；deci2bin.m VITRBI.m 信道及信道估计：ch_est.m；chan
UWBsimulator
- 自己编写的超宽带系统简单仿真平台，有简单界面.包括可替换的脉冲成型（半余弦脉冲）、IEEE802.15.3a的修正SV信道、最大似然信道估计、Rake接收机等模块，可以实现monte carlo仿真求误码率。可添加多址接入、编码等功能（维特比编解码、帧同步的程序由本人同学编写）。入口主程序uwbsim.m 编解码程序：bin2deci.m；bini2deci.m；deci2bin.m VITRBI.m 信道及信道估计：ch_est.m；channel.m；channelgenerator
syn_m1
- DVB-T（2K模式）同步，仿真最大似然相关（MLE）算法，在符号开始位置出现谱峰-DVB-T (2K mode) synchronization, simulation Maximum Likelihood correlation (MLE) algorithm. Symbol began in the peaks of position
SEAL_det_v1.0
- A stack-based sequential depth-first decoder that returns Maximum-Likelihood solutions to spherical LAST coded MIMO system-type problems
code
- word文档对球形译码的理论原理和仿真结果进行了分析 1.sphereandML是主程序，性能接近最大似然ML检测，调用了spheredecode和spheredecodeinf两个子程序； 2.main_spheretoML是主程序，性能达到最大似然NL检测，调用了spheredecodetoML和spheredecodeinftoML两个子程序。-word document on the theory of spherical decoding theory and simulati
hammingcodedecoding
- (7,4)汉明码的硬判决译码算法、最大似然译码算法、和积译码算法性能比较（代码附在word后面，采用matlab实现）很好的学习资料-(7,4) Hamming code of hard decision decoding algorithm, maximum likelihood decoding algorithm, and decoding performance comparison plot (code word is attached to the back, using matla
STBCxindaoguji
- STBC_ofdm的最大似然信道估计算法实现（ML）-STBC_ofdm maximum likelihood channel estimation algorithm (ML)
ML_and_MAP
- 最大似然和最大后验概率算法描述，比较性能，仿真分析-Maximum likelihood and maximum a posteriori probability algorithm descr iption, comparative performance, simulation analysis
code3
- 加入载波相位偏差，用最大似然估计和错误估计估计相位误差，并进行比较。-Add carrier phase deviation, using maximum likelihood estimation and errors estimated phase error is estimated and compared.
Performance_Analysis_of_Maximum_Likelihood_Detecti
- 《通信信道处理》课程设计，内容为MIMO系统的性能仿真分析，内含MIMO系统的构建、Rayleigh信道、AWGN干扰、QPSK调制解调等，按照IEEE格式全英书写，请大家多多指教-Performance Analysis of Maximum Likelihood Detection in a MIMO Antenna System.pdf
generate_llrs
- EXIT图绘制中根据要求的互信息度量生成(高斯分布)先验似然值-generating (Gaussian) priori likelihood values for a given mutual information measurement
Jafark_QOSTBC_4by1_rate1.0_QPSK_(1A234)_ML
- MIMO无线传输 无线传输 无线传输 -MIMO transmission model, JAKAFANI Quasi orthogonal space time block codes with four transmit and one receive antenans over flat fading channel with maximum likelihood detector (ML)
NonLinearDetectionMulti-userOFDMMC-CDMA
- echniques for multi-user detection in OFDM / MC-CDMA can be classified as linear or non-linear techniques. A number of these techniques have evolved from previous research for CDMA–based systems. The overlaying of OFDM with CDMA permits grouping of t
ber_2x2mimo_ML
- The results for 2×2 MIMO with Maximum Likelihood (ML) equalization helped us to achieve a performance closely matching the 1 transmit 2 receive antenna Maximal Ratio Combining (MRC) case.
eqberdemo
- 本演示程序分别就线性，判决反馈，和最大似然估计均衡器的进行了误码率性能仿真。-This demo program in respect of linear, decision feedback, and the maximum likelihood estimation equalizer BER performance simulation carried out.
da1
- HELP: coherent_ML_receiver function [separated_data]=coherent_ML_receiver(received_signal,H,code_name,rate,num_code,modulator) Perform Maximum Likelihood Space Time Decoding. The function can be computionnaly expensive if the modulation
MMSE_CDMA_Receiver
- The demo shows two nonlinear interference cancellation methods - Zero-Forcing and Minimum-Mean-Square-Error - with symbol cancellation and compares their performance with the Maximum-Likelihood optimum receiver.
1
- 多天线正交频分复用(MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex)系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行
sphdec
- Sphere decoding program. This is the sphere decoding algorithm to achieve maximum likelihood detection. It applies to OFDM and SC-FDE systems.
maximum-likelihood-estimation-
- 极大似然和差分算法信道估计算法,仿真结果表明其优越性和良好的性能-The algorithm mainly shows the research process of maximum likelihood and difference algorithm, and the simulation results