搜索资源列表
Channel-Training-and-Estimation
- 一种中继系统中，信道估计算法的训练序列设计以及信道估计算法仿真-Channel Training and Estimation in Distributed Space-Time Coded Relay Networks with Multiple Transmit/Receive Antennas
ofdmmlle
- 一种基于PN训练序列的OFDM时频同步的新算法。通过构造倒序结构的同步训练序列-PN training sequence based on the OFDM time and frequency synchronization of the new algorithm. Structure by constructing a reverse synchronization of training sequences
MIMO_ofdm-simulation
- 一个利用空时编码和训练序列进行仿真的mimo ofdm系统-A use of space-time coding sequence of simulation and training systems mimo ofdm
An-optimal-training-signal
- mim0-ofdm多数图多输出系统训练序列的产生，结构，优化-mim0-ofdm multiple-output system, the majority of the training sequence diagram generation, structure, optimization
SHORTTRANING
- 训练序列生成模块的FPGA实现,运行通过,很不错的!-short training fpga
hanshubijin
- 神经网络，非线性函数逼近。参数选择合适，训练序列得出权值，输出结果良好。-Neural networks, nonlinear function approximation. Select the appropriate parameters, weight training sequences obtained, the output is good.
Identification-Method-for-MIMO-OFDM-
- 对于多输入多输出系统, 传统的基于训练序列的信道辨识方法为跟踪信道的变化, 必须 发送大量冗余信息, 传输效率较低 而基于子空间的纯盲方法又带有不可避免的模糊性, 辨识结果 精度不够。在子空间法的基础上, 利用少量训练符号估计出模糊矩阵, 以此矫正子空间法得到的结 果。仿真结果显示: 在保证辨识精度的前提下, 该方法减少了训练符号等冗余, 提高了传输效率。-In o rder to t rack the channel variat ion of MIMO OFDM
TD-SCDMA
- TD—SCDMA系统仿真平台，基于训练序列的信道估计仿真-TD-SCDMA system simu
RLS
- 很好地实现实现 UW产生 用于均衡 训练序列估计-Generate UW
MIMOOFDM-cazac
- 用于多输入多输出正交频分复用(MIMOOFDM)系统的定时同步算法,算法利用恒幅零自相关 码(CAZAC)的自相关特性及自反特性生成用于定时同步的训练序列-mimo-ofdm syn method with cazac sequence
LMS-algorithm-for-adaptive-equalizer
- 在ISI信道中，用PN码作为训练序列，使用LMS算法的自适应均衡器-ISI channel, PN code as the training sequence, the adaptive equalizer using the LMS algorithm
ofdm
- ofdm符号定时，选择ofdm符号帧前导字的长训练序列64位数据做相关-ofdm long traning
STBC_MIMO_OFDM
- 2发4收的STBC程序,包括信噪比分析和训练序列-a program for stbc coding
CFO_estimation2
- 通信系统中接收机采用训练序列进行CFO估计的MATLAB仿真程序-The receiver uses the training sequence in the communication system CFO estimation MATLAB simulation program
d4ef13.ZIP
- 基于训练序列与数据叠加的ACO_OFDM无线光通信系统时间同步方法Based on the training sequence and data superimposed on the ACO_OFDM wireless optical communication system time synchronization method-Based on the training sequence and data superimposed on the ACO_OFDM wireless opti
example
- 基于LMS的自适应信道均衡，训练序列采用QPSK信号，从星座图可直观的观察结果-LMS-based adaptive channel equalization, the training sequence using QPSK signal constellation can be observed from the observation
transmitter
- 基于OFDM的接收机部分,关于插入导频和训练序列的对比-pilot insert, PN insert, channel estimation based on DTMB
Superimposed-training
- 叠加训练序列的最小二乘信道估计与最小均方误差均衡，QPSK调制，做了4次迭代估计的性能对比。-superimposed training, least squares (LS) channel estimation, MMSE equalizer, QPSK modulation, 4 times iteration.
lbg
- 实现已知训练序列的矢量量化器（LBG）算法。初始码书从训练序列每隔五个样本选取一组-Achieve a known training sequence of the vector quantizer (LBG) algorithm. The initial codebook from the training sequence every five samples to select a group of
lbjsf
- 已知训练序列的LBG算法的matlab实现，-LBG algorithm matlab realize the known training sequence,