simulation-QAM

Block Matching Algorithm (continuous) New Three Step Search

说明：  利用SVD进行信号降噪，通过fft判断奇异值个数，确定重构矩阵结构(Using SVD to reduce the noise of signal, using FFT to determine the number of singular values, and determining the structure of reconstruction matrix)

matlab rgb to lab code color space

计算简支梁在多个集中力，均布载荷，力偶同时作用时的剪力，弯矩并绘制其图形(Simple beam calculations in a number of concentrated force, uniformly distributed load, Couple add at the same time, the shear stress, moment and draw its graph)

example of a msk modulation in simulink.

hfss matlab api,zheshiqi中的一个函数(hfss matlab api)

Matlab application, movement of planets

图像处理中经典的PCA算法，几乎每一步的降维之前都要用到 实用性很强(PCA classical image processing algorithms, almost every step of dimension reduction should be used in very practical before)

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.)

一个对OFDM信道进行盲估计的子空间算法，具有较好的MSE性能(1 pairs of OFDM blind channel estimation for sub-space algorithm, with better MSE performance)