radial-undirtorted-image

自己写的一个vc与MATLAB混合编程的例子(Himself wrote a vc with MATLAB programming examples of mixed)

灰度图像的频域增强,MATLAB实现,内有图(Gray-scale images to enhance the frequency domain, MATLAB realize, there are plans)

noise canceller using lms

说明：  遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)

Hybrid energy meter with smart energy metering

2x1 alamouti code for mimo channel

最小均方误差等算法的MSE的计算,pwm整流器的建模仿真，数据模型归一化，模态振动，是信号处理的基础，D-S证据理论数据融合，采用的是脉冲对消法。

展示单和多文档上带有背景Bar(display of single-and multi-document with background on the Bar)

matlab的准线性集合，可以求出线性参数及误差，并且可以得到极值(matlab quasi-linear collection of linear parameters and error can be calculated, and you can get the extreme value)

We first present the Hypothesis Selection Filter in a general setting. For a given image enhancement problem, suppose we have selected a set of image filters each of which is effective in improving the image quality for a certain type of content. Our objective is to combine the filter outputs to obtain an overall best quality result. In the following, we use upper-case letters to denote random variables and random vectors, and lower-case letters to denote their realizations.