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增广的最小二乘辨识程序 梯度校正的最小二乘辨识程序 递推的极大似然辨识程序(允许输入拉丁字符的拼音 Augmented least squares identification procedure Gradient-corrected least squares identification procedure Recursive maximum likelihood identification program)

PSO Simple algorithm for optimization

基二的fft算法仿真，和matlab中fft( , )函数性能没什么差别！(II fft algorithm based simulation, and matlab in fft (,) function no difference in performance!)

LDA source code done with matlab

MATLAB中，卷积码、QPSK通过单径瑞利衰落信道的仿真，分析不同的多普勒和不同的交织块长对性能的影响。(MATLAB, the convolutional code, QPSK through a single path Rayleigh fading channel simulation, analysis of different Doppler interleaving block length and different impact on performance.)

快速横向滤波器FTF用于系统参数估计，在matlab平台上开发GUI，用c语言编写，嵌套在matlab中。(FTF rapid horizontal filter system for parameter estimation, in Matlab platform GUI development, c prepared with language, which nested in Matlab.)

esprit算法对有干扰的信号频率进行估计,信号处理中的旋转不变子空间法，相控阵天线的方向图（切比雪夫加权）。( esprit algorithm signal frequency interference can be assessed Signal Processing ESPRIT method, Phased array antenna pattern (Chebyshev weights).)

数值分析方法的应用研究 有限差分法求解电磁场微分方程(Study on numerical analysis method of finite difference method for electromagnetic differential equations)

LTE下行链路发射分集仿真，仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字、8次迭代Turbo译码，每次处理1000万比特用户数据、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行发射分集预编码。信道模型是LTE-MIMO信道附加AWGN信道。收发两端采用的双天线配置，天线相关性为中等。(LTE downlink transmit diversity simulation configuration: 16QAM modulation, 1/3 Turbo coding rate, 10MHz bandwidth of each sub-frame a PDCCH symbol, single code word, 8 iterations Turbo decoding, each processing 10 million bits of user data, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, a PDSCH transmitting terminal transmit diversity precoding. Channel model is LTE-MIMO channel additional AWGN. Dual antenna transceivers at both ends of the configuration, the antenna correlation is moderate.)

说明：  严恭敏博士的传递对准仿真程序，值得一看，推荐初学者学习(Dr. Yan Gongmin's transfer alignment simulation program, it is worth a look, recommend beginners to learn)