matlab

MATLAB 实现拉格朗日插值算法 (Lagrange interpolation algorithm in MATLAB)

4QAM、16QAM、32QAM、64QAM、128QAM、256QAM星座图映射，map、频偏估计算法(4QAM, 16QAM, 32QAM, 64QAM, 128QAM, 256QAM constellation mapping, map, frequency offset estimation algorithm)

自己写的一个计算时频分布的程序,可知指定Cohen类分布类型WVD，CWD，PWVD(Himself wrote a calculation procedure for time-frequency distribution shows the distribution of the type specified Cohen category WVD, CWD, PWVD)

给出了kalman、RLS、LMS三种自适应滤波器的仿真程序，三种滤波器都采用了80次迭代，将仿真值与理论值进行了比较(Given kalman, RLS, LMS adaptive filter simulation program of three, three types of filters are used 80 iterations, the simulated values were compared with the theoretical value)

ofdm signal to noise ratio

本书详细介绍了matlab在信号分析和处理方面的应用，有丰富的应用实例和习题，有大量的源程序。(the book details the Matlab signal analysis and processing of applications, is rich in examples and exercises, a large number of the source.)

matlab program for signal normalization

批量处理灰度图像，并能够识别图像质量中心进行截圆处理，同时生成灰度直方图以及各个点的坐标文件(Batch processing grayscale images, the image quality and the ability to identify the center circle cut deal, while generating histogram and the coordinates of each point file)

梯度下降法是最早最简单，也是最为常用的最优化方法。梯度下降法实现简单，当目标函数是凸函数时，梯度下降法的解是全局解。一般情况下，其解不保证是全局最优解，梯度下降法的速度也未必是最快的。梯度下降法的优化思想是用当前位置负梯度方向作为搜索方向，因为该方向为当前位置的最快下降方向，所以也被称为是”最速下降法“。最速下降法越接近目标值，步长越小，前进越慢。(The gradient descent method is the earliest and most simple and most commonly used optimization method. The gradient descent method is simple to realize. When the objective function is a convex function, the solution of the gradient descent method is a global solution. In general, the solution is not guaranteed to be the global optimal solution, and the gradient descent method is not necessarily the fastest. The optimization idea of gradient descent method is to use the current position negative gradient direction as the search direction, because the direction is the fastest descending direction of the current position, so it is also called the steepest descent method. The faster the slowest descent approach is closer to the target, the smaller the step, the slower the progress.)

this document present how we use butterworth ,chybi1,chiby2 and recursif fiter using matlab