pso-matlab

Digital Water Marking of images

PSO算法源代码1,值得参考学习一下！！(it is good!)

精通MATLAB—其中包含综合辅导与指南(Proficient in MATLAB-counseling and guidance )

杜达的《模式分类》第二版的配套的Matlab源代码( Pattern Classification, the second edition of supporting Duda of Matlab source code)

Duchi and Singer [24] proposed a boosting method for multi-class classification problems by utilizing the structural sparsity of model parameters. They claimed that the method can be generalized for multi-task learning.

Matlab 6.X辅助图像处理一书的源代码,对图像处理的初学者很有用哦(Matlab 6.X-assisted image processing of a book on the source code of image processing useful beginners Oh)

这里和大家分享的几种基础的分类方法，其中包括判别聚类分析、人工神经网络、主成分分析等(Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

It contains a speech signal. It will helpful to analyse different algorithm for this speech signal

说明：  BCH码的仿真，系统自带库函数BCHencode和BCH的code，支持任何非本原BCH和本原BCH码仿真，包含交织模块，支持matlab2017b以上(BCH code simulation, the system comes with library functions BCHencode and BCH code, supports any non-primary BCH and primitive BCH code simulation, including interleaving module, supports matlab2017b and above)