Perrone

该文档时一个宽带信号处理的源代码，被验证是成功的，可以供学习练手(The document, a broadband signal processing, source code, to be verified to be successful, you can study and practice for hand)

Matlab2010经典超强教程清晰、免费版(Matlab2010 classic super clear tutorials, free version)

改程序包含了二连杆动力学模型以及针对该模型的模糊控制，同时还有对曲线的绘制(Reform program includes a two-link dynamic model and fuzzy control for the model, as well as drawing on the curve)

gabor特征提取程序 matlab实现 附有图像测试(gabor feature extraction process to achieve with matlab image test)

利用LABVIEW多通道采集及分析处理各种信号资料(Using LABVIEW multi-channel signal acquisition and analysis deal with)

data reduction with fuzzy rough sets or fuzzy mutual information

聚类分析的案例，用maltab方法实现，修改可以使用(Cluster analysis of cases with maltab method, can be used to modify)

costas环的simulink实现，可以直接在matlab上运行实现通信系统中的载波同步，对于学习或设计通信系统有很大帮助(simulink realization of costas loop that can run directly on the matlab implementation of carrier synchronization in communications systems, communications systems for the study or design of great help)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)

Hopfield BAM 双向异联想的简单实现，内含说明pdf文件(bam on Hopfield Network)