Fisher-program

着篇文章是关于均衡的 感觉很好 尤其是概念方面 值得学习 分享一下(Forward to articles about the balanced feel good, especially the concept of worth learning to share)

说明：  “基于PCANet的合成孔径雷达图像自动变化检测”的Matlab实现(Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet")

通过选择合适的参数，选取采样相应的采样点，进行参数计算。(By choosing appropriate parameters, select the corresponding sampling point sampling for parameter calculation.)

用hough监测圆................(fdfddffasdghgfsf)

This text deals exclusively with signal processing of digital data, although Chapter 1 briefly describes analog processes commonly found in medical devices. This text should be of interest to a broad spectrum of engineers, but it is written specifically for biomedical engineers (also known as bioengineers). Although the applications are different, the signal processing methodology used by biomedical engineers is identical to that used by other engineers such electrical and communications engineers. The major difference for biomedical engineers is in the level of understanding required for appropriate use of this technology. An electrical engineer may be required to expand or modify signal processing tools, while for biomedical engineers, signal processing techniques are tools to be used.

Matlab辅助激光光学分析与应用，多说无益，用则拿之(Matlab-assisted laser optics analysis and applications, more than just words to get the use of the)

brushless dc drive motors simulations

internal on line partial discharge

说明：  matlande 灰色关联度 算法实现，精品(Gray Relational matlande algorithm, products)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)