MATLAB-GUI

matlab实现一维小区定向信道锁定借用（BDCL）和FCA（固定信道分配）阻塞率比较的仿真程序，并对小区信道数对阻塞率的影响也进行了图形描述！(matlab plot to achieve one-dimensional directional channel locking to use (BDCL) and FCA (fixed channel allocation) Comparison of blocking rates of the simulation program, and the cell number of channels on the blocking probability is also studied in the graphic description!)

一段matlab下的LPP算法实现的完整程序，与算法同仁一起分享(LPP for matlab)

OFDM仿真程序，除了.m格式还有word形式的代码( There are OFDM simulation program, in addition,no only have M form of the code ,but aslo word format.)

说明：  是电力系统的电磁暂态仿真用的EMTP中的免费版ATPDraw，主要是应用于交直流的暂态仿真，这是图形界面版的(this is power system software)

实现图像的二维平稳小波变换，包含对源图像的分解与重构(2-D stationary wavelet transform, including the decomposition and reconstruction of the source image)

无网格法(mlpg),matlab代码，悬臂梁可用(The meshless method (MLPG), the matlab code, the cantilever beam can be used)

《matlab数值分析》一书中的相关程序，供大家参考("Matlab numerical analysis," a book of related procedures, for your reference)

Data Extraction in Matlab

一种信号自适应处理方法，通过 提取频域极大值点自适应地分割傅里叶频谱以分离不同的模态,此方法为经验小波变换(A method of adaptive signal processing, Empirical wavelet transform)

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)