资源列表
simulation_system
- OFDM链路，是用matlab中的simulink编写的，对OFDM的直观了解和学习有很大的帮助。-OFDM link, is written in matlab simulink in, the intuitive understanding of OFDM and learning a great help.
DOA_pastd
- 基于投影逼近子空间（PASTD）算法的DOA估计，PASTD算法可以快速度估计协方差矩阵的特征向量-doa estimation using pastd algorithm，pastd algorithm can estimate eigenvectors of covariance matrix quickly
Alamouti-transmission-and-reception
- Alamouti方案是为发射天线数为2的系统提供完全发射分集增益的一种空时分组码方案，介绍Alamouti的一种简单的发射方案，包括编码和译码算法及其性能分析，并使用Matlab仿真了Alamouti方案的两发射一接收的情形．-Space-time code of STBC technical coding schemes,a simple transmit and receive way for 2 transmit antenna 1 receive antenna 。
STTC
- 空时编码中的STTC空时网格码，用matlab程序实现其系统仿真的源代码。-STTC source code for space time coding method using matlab language。
SVPWM
- SVPWM详细的simulink仿真，可作为毕设参考资料，可用的仿真，内容做得较全面-SVPWM detailed simulink simulation can be used as complete reference design, simulation available, the content did a more comprehensive
LDPC-code-simulation-experiment
- LDPC编码仿真信号输入 LDPC编码仿真源代码 LDPC编码仿真信号输出-LDPC code simulation signal input LDPC code simulation source LDPC code simulation signal output
analyse-of-plane
- 飞机自然特性分析。 给定一个飞机纵向与横侧向运动状态空间方程，分别在时域、幅频域、复域分析飞机的纵向和横侧向自然特性-Given the natural characteristics of the aircraft an aircraft longitudinal and lateral motion state space equation, respectively, in test domain, amplitude and frequency domain, complex dom
Mie
- mie散射的参数计算。包含mie系数an,bn,cn,dn和部分重要参量。-mie scattering parameter calculation. Contains mie coefficients an, bn, cn, dn, and some important parameters.
ber_OFDM
- 降低OFDM系统峰均比的PTS算法源码，经过MATLAB仿真成功-Reduce the PAPR of OFDM system PTS algorithm source, after the success of MATLAB simulation -Reduce the PAPR OFDM system PTS algorithm source code, MATLAB simulations after the success-Reduce the PAPR of OFDM system P
7
- 这是为想学习Matlab的学习者准备的足够练习题，实例子，有了它们，你可以很好的去练习而不是纸上谈兵。-This is to prepare learners want to learn enough Matlab exercises, case children, with them, you' re good to practice rather than on paper.
lms
- 最小均方算法lms在波束形成中的应用 LMS算法步骤： 1,、设置变量和参量： X(n)为输入向量，或称为训练样本 W(n)为权值向量 b(n)为偏差 d(n)为期望输出 y(n)为实际输出 η为学习速率 n为迭代次数 2、初始化，赋给w(0)各一个较小的随机非零值，令n=0 3、对于一组输入样本x(n)和对应的期望输出d，计算 e(n)=d(n)-X^T(n)W(n) W(n+1)=W(n)+ηX(n)e(n) 4、判断是否满足条件，若满足
apsk
- APSK modulation scheme code for matlab. Supports 16-APSK and 32-APSK. The mapping symbols corresponds to DVB-S2 standard.