convolutional

classification with showing the test and observation

说明：  介绍各种数字图像处理教材的基本内容。Teaching Notes 是数年来我学习数字图像处理方法的初步笔记，主要内容来自国内外公开出版的教材与专门性著作。(Introduction of various digital image processing the basic content of teaching materials. Teaching Notes is a few years I have studied the initial digital image processing notes, mainly from the published materials at home and abroad and specialized publications.)

智能天线小程序，计算电流分布，方向图等等对初学者有帮助(smart antenna， easy for junier learner)

中值滤波算法去除椒盐噪声，小生亲自编写的(voice pepper removal algorithm was removed during the wave)

基于一阶AR模型u(n)=0.99u(n-1)+v(n),白噪声方差0.93627.步长0.05.分别使用M=2和M=3抽头的滤波器，用LMS算法实现u(n)的线性预测估计。并附仿真图已被参考。(Based on a first-order AR model u (n) = 0.99u (n-1) the+v (n), the white noise variance 0.93627 step 0.05. Respectively with M = 2 and M = 3-tap filter, with the LMS algorithm u (n) of the linear prediction estimates. Along with simulation diagram reference.)

信号包络谱计算 (signal envelope sperctrum calculation )

MIMO ofdm完整程序，已仿真过，比较误码率(MIMO ofdm)

一个详尽的算术编码的matlab仿真程序。(A detailed arithmetic coding matlab simulation program.)

调制宽带转换器 matlab代码 实现频谱欠Nyquist速率采样检测(MWC Modulated Wideband Converser)

mammograms Segmentation for detection of masses breast