POD1

matlab仿真程序，适合初学者，比较实用，可用性高。(matlab simulation program, suitable for beginners, more practical, high-availability.)

simulink实现的BPSK数字通信系统，通过高斯白噪声信道的恢复情况。 各位请注意一下参数可由m文件给出，也可以在模块中直接给出。(simulink realization of the BPSK digital communication system, through the white Gaussian noise channel recovery. Members please note the file parameter is given by m, can also be given directly in the module.)

说明：  MIMO块对角化预编码技术源代码，以及将该方法与VBLAST技术结合起来。(Block diagonalization precoding MIMO technology source code, as well as the methods and VBLAST technologies.)

inverted wedge calibration model

包含CV、CA、Single、当前、恒转弯速率、转弯模型，小波包分析提取振动信号中的特征频率，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( It contains CV, CA, Single, current, constant turn rate, turning model, Wavelet packet analysis to extract vibration signal characteristic frequency, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

MATPOWER软件包的最新版本，包含连续潮流（CPF）和状态估计（SE），对研究电力系统很有帮助。(MATPOWER is a package of Matlab M-files for solving power flow and optimal power flow problems. It is intended as a simulation tool for researchers and educators that is easy to use and modify. MATPOWER is designed to give the best performance possible while keeping the code simple to understand and modify. )

实现产生伪随机序列的部件 —— 线性反馈移位寄存器单元。 SFlog2为扩频因子的底数为2的对数值，cycle为PN序列的周期，其值为2^SFlog2。initial_state为移位寄存器的初始状态，generator_polynomial_coefficient为生成PN序列所需的本原多项式，对应于移位寄存器的连接向量。(The realization of pseudo-random sequence generated components- LFSR unit. SFlog2 factor for the spread-spectrum base 2 of value, cycle for the PN sequence cycle, its value is 2 ^ SFlog2. initial_state shift register for the initial state, generator_polynomial_coefficient to generate the necessary PN sequence primitive polynomial, corresponding to the shift register connection vector.)

说明：  利用AR模型实现功率谱估计的方法，包括直接求解，L-D递推，自相关法和Burg算法。(AR model power spectrum estimation methods, including direct solving LD recursive autocorrelation method and Burg algorithm.)

以matlab为开发语言的卡尔曼滤波，英文教材，对学习卡尔曼滤波很有帮助(The matlab language Kalman filter for the development of English teaching materials, useful for learning Kalman filter)

sourceRadar.m 产生雷达数据 sourceIR.m 产生红外数据 EKF_Radar.m 雷达数据扩展卡尔曼滤波 EKF_IR.m 红外数据滤波 Asynchronism_Radar.m 雷达数据同步 Asynchronism_IR.m 红外数据同步 fusion_asyn.m 异步数据融合(sourceRadar.m produce radar data sourceIR.m radar data to produce infrared data EKF_Radar.m extended Kalman filter EKF_IR.m infrared data filtering Asynchronism_Radar.m Asynchronism_IR.m infrared radar data synchronization data synchronization fusion_asyn.m asynchronous data fusion)