PSO 算法

边界单元法应用于电磁场及弹性力学中权函数的代码(boundary element method for electromagnetic field and elasticity function of the right code)

matlab实现的对黑白图像上色的功能，提供可以直接运行的m文件以及大量图像素材。(for black and white images to color functions matlab to achieve, provided m files can be run directly as well as a large number of image material.)

一个简单的Matlab与Qt结合的项目。(A simple combination of Matlab and Qt project.)

利用DML算法和SML算法实现到达方位角的估计(Estimation of arrival azimuth using DML algorithm and SML algorithm)

有较好的参考价值，采用偏最小二乘法，考虑雨衰 阴影 和多径影响，时间序列数据分析中的梅林变换工具，各种资源分配算法实现，有小波分析的盲信号处理。

基于贝叶斯人脸识别技术的matlab人脸识别程序，在ORL库上实现，也可换用别的库进行运算，只需要更改样本数量(Bayesian face recognition technology based on face recognition matlab program, implemented on ORL database can also be used for other library operations, only need to change the number of samples)

说明：  支持向量机分类，选用肺癌的例子，分类的效果较好。初学者可以根据数据特点自行改动部分参数即可。(Support Vector machine classification, using the example of lung cancer, classification effect is better. Beginners can change some parameters according to the characteristics of the data)

Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major draw- back in that the minimum of the resulting cost function does not correspond to the true sharp solution. Accordingly, a range of additional methods are needed to yield good re- sults (Bayesian methods, adaptive cost functions, alpha- matte extraction and edge localization). In this paper we introduce a new type of image regularization which gives lowest cost for the true sharp image. This allows a very simple cost formulation to be used for the blind deconvolu- tion model, obviating the need for additional methods. Due to its simplicity the algorithm is fast and very robust. We demonstrate our method on real images with both spatially invariant and spatially varying blur.

独立成分分析算法降低原始数据噪声，仿真图是速度、距离、幅度三维图像，关于神经网络控制，均值便宜跟踪的示例，详细画出了时域和频域的相关图，外文资料里面的源代码。

正弦波源程序————matlab 正弦波源程序(---- Matlab source sine wave sine wave source)