gcv

LDPC implemented in MATLAB, BPSK performance using LDPC checked

说明：  使用Fisher 现行判别函数对给定的样本进行训练，对于两类，Fisher线性判别函数很好做，就是 w = Sw (m1 - m2), 其中：Sw为总类内离散度矩阵， m1, m2, 为两个模式类的均值(Fisher discriminant function using the current sample of a given training for two, Fisher linear discriminant function is well done, that is, w = Sw ' (m1- m2), where: Sw of the total within-class scatter matrices, m1, m2, the mean value for the two pattern class)

说明：  本程序实现了4PSK的调制与传输，计算了误码率等性能参数(This procedure achieved 4PSK modulation and transmission, calculated performance parameters such as bit error rate)

求解一幅图像内连接任意两点的变化最平缓曲线上最大值与最小值的差值(Solution to connect any two points within an image change in the most gentle curve of the difference between maximum and minimum)

L4_1.m: SVD轉換(程式) L4_2.m: 影像轉換的能量集中能力(程式) L4_3a.m: 小波轉換之多重解析架構(程式) L4_3b.m: 小波轉換係數與影像的方向性(程式) energy.m: 能量集中(函式) L4_1.bmp: 影像檔 L4_2.bmp: 影像檔 L4_3b.bmp: 影像檔 woman.mat: Matlab的矩陣變數檔 (L4_1.m: SVD conversion (program) L4_2.m: image conversion of energy to focus capacity (program) L4_3a.m: the multi-resolution wavelet transform architecture (program) L4_3b.m: wavelet transform coefficient and the direction of the image (the program) energy.m: energy concentration (function) L4_1.bmp: image file L4_2.bmp: image file L4_3b.bmp: image file woman.mat: Matlab matrix variable file)

matlab file for cbir using progect..useful to all

This is the file for direct static var compensator in conventional model

implementation of PDS filters

关于基础PIDmatlab仿真的源码，适合基础学习。(About source basis PIDmatlab simulation, suitable for basic learning.)

Character recognition