IRLS

根据DFT的对称性，由原始序列计算所求的序列的DFT，用MATLAB 实现(According to the symmetry of the DFT, the DFT of the sequence of demand from the original sequence calculation with MATLAB)

MODELISATION D4UNE COMMANDE DTC CLASSIQUE D4UNE MACHINE ASYNCHRONE AVEC MATLAB/SIMULINK

说明：  对OFDM通信系统进行仿真，使用AWGN信道，生成误码率与信噪比的仿真图形，并与理论图形进行比较(The simulation of the OFDM communication system, using the AWGN channel, BER and SNR generated graphic simulation, and compared with the theoretical graph)

giude of matlab simulink on persian

以下程序是基于matlab软件实现自适应滤波器的lms和rls两种算法，不像有些程序那样冗杂，简练明了。定义一个输入信号加入一组噪音，用自适应算法进行滤波，其中用到一个for循环。(The following procedure is based on the matlab software implementation of the LMS adaptive filter and rls two algorithms, unlike some of the procedures as miscellaneous, concise and clear. The definition of an input signal by adding a group of noise, use of adaptive filtering algorithm, which uses a for cycle.)

说明：  这些是卷积译码程序m文件，其中viterbi.m为卷积译码程序，其余的m文件为viterbi.m中用到的子函数。均已调通，并加上注释！(These are the convolutional decoding process m paper viterbi.m for the convolutional decoding process, the rest of the m file viterbi.m used in subroutine. Have been transferred pass, and to add comments!)

用于无损传输线的Smith圆图软件，可以计算Zl、Z0、zin、单枝节匹配，可以在图上选点并生产图形。由于时间过得太久了，忘了具体功能，里面有我的一份具体说明。(Lossless transmission line for Smith Chart software, you can calculate Zl, Z0, zin, a single minor match point in the map selection and production of graphics. As time passes too long, forget the specific functions, which has one of my specific instructions.)

Arnold Algorithm Source Code

上传一个word档的联邦式扩展卡尔曼粒子滤波算法，大家学习粒子滤波有益，为了使联邦滤波器够有效处理非高斯、非线性系统的状态估计问题，提出将扩展卡尔曼粒子滤波引入联邦滤波结构中，得到一种新的联邦式扩展卡尔曼粒子滤波算法.使用扩展卡尔曼粒子滤波对联邦滤波子系统的多源数据进行处理，从而摆脱了经典卡尔曼滤波的限制，拓宽了联邦滤波器的实际应用范围.将联邦式扩展卡尔曼粒子滤波算法应用于非线性滤波器的一个标准验证模型进行了仿真实验，结果表明该算法是有效性的.(Abstract: A new particle filter(Federated Extend Kalman Particle Filter，EKF-FPF) is proposed to estimate the state of Non-Gaussian and Non-Linear system for federated filter, in which extend kalman particle filer is introduced to federated filter so that the information fusion of subsystem can be solved by the non-gaussian and non-linear filer. By doing so, the federated filter can get rid of the disadvantage of the ordinary kalman filter to extend its application field. The simulation results of the standard testing model demonstrate the feasibility of the proposed algorithm.)

我自己编写的简单的nsga2程序，对于初次接触该算法的朋友会有很大帮助(I have written a simple nsga2 program will be very helpful for the initial contact with the friends of the algorithm)