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可以建立二维剖面模型，并计算重力数据，对计算值和观测值做比较，。(It calculates the gravuty anomaly associated to the provided geometries, and compares calculated and observed data.)

it consists of simulink model of PV array with inverter and mppt and aslo description file PV array with mmp tracking boost Dc-DC

演示MA序列的特征值、自协方差函数和谱密度。程序是开放的，可以修改参数(MA eigenvalues ​ ​ demo sequence, since covariance function and spectral density. The program is open, you can modify the parameters)

实现 直接2型滤波器的设计 以及 仿真 功能(direct two-filter design and simulation function)

说明：  Silicon N-Channel MOSFET Triode 射频mos器件的datasheet(Silicon N-Channel MOSFET Triode RF device datasheet mos)

利用K均值算法对7个波段的TM遥感影像进行有监督的分类！里面包含完整的算法及TM图像，下载即可进行调试!(K means algorithm using 7 bands of TM remote sensing image supervised classification! Which contains the complete algorithm and the TM image, download it for debugging!)

1、本程序用于仿真里德-穆勒（Reed-Muller）码在AWGN信道中的性能，调制采用bpsk 2、理论请参见《差错控制编码》（第二版），Shu Lin（美）编，晏坚等（译）一书P70-75.且仿真结果与书中图4-2完全一致 3、BPSK_AWGN_RM_Code.m为主程序，点击运行即可 4、The_creation_of_RM_code.m和RM_Decode.m分别为RM码的编、译码程序，而Majority_logic_decision.m用于译码中的大数判决，combine_dunction.m用于计算组合数。(1, the procedure for the simulation Reed- Muller (Reed-Muller) codes in AWGN channel performance, modulation using bpsk 2, theory, see " Error Control Coding" (second edition), Shu Lin (America) series , Yan Jian, etc. (translated) book P70-75., and the simulation results consistent with the book Figure 4-2 3, BPSK_AWGN_RM_Code.m-based program, click Run to 4, The_creation_of_RM_code.m and RM_Decode.m were RM compiled code decoding process, and in large numbers for decoding Majority_logic_decision.m judgment, combine_dunction.m used to calculate the number of combinations.)

有约束的情况下的MPC MATLAB程序，可以正常运行，对于想学习mpc控制器的初学者可以参考修改。(Under the constraint of MATLAB, the MPC can run normally, beginners can refer to want to learn the MPC controller changes.)

实验中使用随机反向传播算法对构造的神经网络进行学习，最终得到构造的神经网络的权值矩阵。(Experiment using the random back-propagation algorithm to construct the neural network learning, the final structure of the neural network obtained the weight matrix.)

基于遗传算法的道路图象分割,分割结果非常理想,可适用于各种环境.(The road based on genetic algorithms image segmentation, segmentation results are highly satisfactory and applicable to various environments.)