ofdr

图标编辑的源码，比较适合初学者进行分析。(Icon editor source code analysis is more suitable for beginners)

汪裕民教材后的程序 ofdm关键技术与应用(The procedure WangYuMin teaching materials Ofdm key technology and application )

在MATLAB下实现了图像的方块编码功能(Achieve the image in the MATLAB code in the box functionality)

说明：  方体切割动态规划,这是个数学建模问题，全赛解题(Cube Cutting Dynamic Programming)

说明：  GSM FS 信道仿真.main 主函数 PrimePe 加入高斯噪声的误码率曲线 Qfunct 误码率 (GSM FS channel simulation. Main main function PrimePe adding Gaussian noise bit error rate BER curves Qfunct)

两步法求方程的根植，，仅供参考仅供参考仅供参考仅供参考仅供参考(Two-step method for the equation of rooted, for reference purposes only for reference purposes only for reference purposes only)

ofdm的matlab仿真程序，对学习ofdm技术的人员来说比较实用(ofdm matlab simulation program, to learn ofdm technology officer for more practical)

this is the simulink of wind power with pitch angle controler

极化码BP译码算法，三种改进的BP译码算法。(Polarization code BP decoding algorithm, three improved BP decoding algorithms.)

说明：  最速下降法是迭代法的一种,可以用于求解最小二乘问题(线性和非线性都可以)。在求解机器学习算法的模型参数，即无约束优化问题时，梯度下降（Gradient Descent）是最常采用的方法之一，另一种常用的方法是最小二乘法。在求解损失函数的最小值时，可以通过梯度下降法来一步步的迭代求解，得到最小化的损失函数和模型参数值。反过来，如果我们需要求解损失函数的最大值，这时就需要用梯度上升法来迭代了。在机器学习中，基于基本的梯度下降法发展了两种梯度下降方法，分别为随机梯度下降法和批量梯度下降法。(The steepest descent method is a kind of iterative method, which can be used to solve the least squares problem (both linear and nonlinear). In solving the model parameters of machine learning algorithm, that is, unconstrained optimization, gradient descent is one of the most commonly used methods, and the other is the least square method. When solving the minimum value of loss function, the gradient descent method can be used step by step to get the minimum value of loss function and model parameters. Conversely, if we need to solve the maximum value of the loss function, then we need to use the gradient rise method to iterate. In machine learning, two kinds of ladders are developed based on the basic gradient descent method)