Structured-Compressive-Sensing

数学建模中基于matlab的神经网络算法(Mathematical modeling of neural network algorithm based on matlab)

单载波频域均衡算法完整Matlab仿真程序(Single-carrier frequency domain equalization algorithm for a complete simulation program Matlab)

极限学习机（extreme learning machine）ELM是一种简单易用、有效的单隐层前馈神经网络SLFNs学习算法。2006年由南洋理工大学黄广斌副教授提出。传统的神经网络学习算法（如BP算法）需要人为设置大量的网络训练参数，并且很容易产生局部最优解。极限学习机只需要设置网络的隐层节点个数，在算法执行过程中不需要调整网络的输入权值以及隐元的偏置，并且产生唯一的最优解，因此具有学习速度快且泛化性能好的优点。(Extreme Learning Machine (extreme learning machine) ELM is an easy-to-use and effective single hidden layer feedforward neural network the SLFNs learning algorithm. 2006 by the Nanyang Technological University Associate Professor Huang Guangbin. Traditional neural network learning algorithm (BP) artificial network training parameters, and it is easy to generate a local optimal solution. Extreme Learning Machine network only need to set the number of hidden nodes, the algorithm implementation process does not need to adjust the network input weights and hidden element of bias, and only optimal solution, so the learning speed and generalization good performance advantages.)

Active Contours model(snake)

说明：  利用Matlab中的simulink工具箱仿真。单相桥式PWM逆变电路，采用单极性触发方式，负载 ，电源 ，建立模型，制作PWM触发模块，画出基波幅值与占空比关系图。(Using simulink toolbox of Matlab simulation. Single-phase PWM bridge inverter circuit, the use of unipolar trigger mode, load, power, establishment of model, trigger the production of PWM module, draw the fundamental relationship between the amplitude and duty cycle.)

卡尔曼滤波matlab实例，通过matlab程序，实现卡尔曼滤波算法。(Kalman filter matlab example,Through matlab program to achieve Kalman filter algorithm.)

循环冗余校验就是一种被广泛采用的错误检验编码。介绍了循环冗余校验码的差错控制原理及其算法实现。(CRC is a widely used test coding errors. Introduced a cyclic redundancy check code for error control principle and algorithm.)

用MATLAB软件模拟瑞利衰落（仿真图形）(Using MATLAB software to simulate the Rayleigh fading)

MATLAB图形技术——绘图及图形用户接口(MATLAB graphics- graphics and graphical user interfaces)

窄带FIR滤波器的设计与研究，希望对大家有帮助(design and study of narrow-band FIR filter )