canon

Implement an Erlang-B program, and calculate the offered traffic load for Channel number: 1~20, 200~220 Blocking rate: 1 , 3 , 5 , 10

说明：  【 摘 要】 提出了一种基于负熵的快速不动点1 C A算法， 介绍了负熵的定义和如何将其用作代价函数度量混合信号的非 高斯性。 详细介绍了基于负熵的固定点准则以及简化算法。实验选取 3个非高斯向量作为信号源进行 Ma t l a b分离仿真， 结果显示 分离效果良好。 (Abstract Based on the rapid Negentropy 1 CA fixed point algorithm, introduced the definition of negentropy and how to measure its cost function for mixed-signal of the non-Gaussian. Described in detail based on the fixed-point Negentropy criteria and simplify the algorithm. Experiment to select three non-Gaussian vector as a signal source separation Ma tlab simulation results showed good separation efficiency.)

ccipca算法的matlab程序,这是一种改进的PCA算法(ccipca algorithm Matlab, this is an improved algorithm for PCA)

This program lets you put one image into the same voxel space as another image. E.g. you might want to extract a Brodmann area from the brodmann.img file that comes with MRIcro, and then put that set of 1x1x1mm voxels into the same voxel space as your functional data, which probably covers a smaller volume and has larger voxels. Then you can use the Brodmann area as an ROI to explore your functional results.

matlab实现的游程编码的编码与解码过程，rle实现编码，rld实现解码，简单实用(achieve Matlab run-length coding of the coding and decoding process, rle achieve coding, rld decoder, simple and practical)

This tutorial works with VMProtect 1.69-2.05

用MATLAB编写的模式识别中的贝叶斯分类器(Prepared using MATLAB Pattern Recognition Bayesian Classifier)

说明：  ％--- 基本粒子群优化算法（Particle Swarm Optimization）--- ----- ％--- 名称：基本粒子群优化算法（PSO） ％------作用：求解优化问题 ％------说明：全局性，并行性，高效的群体智能算法 (--- Elementary particle swarm optimization algorithm (Particle Swarm Optimization)----------- Name: Elementary Particle Swarm Optimization (PSO )------ role: Solving optimization problems------- Description: overall, parallelism and efficient swarm intelligence algorithm)

here is a program draw tiế p tuyế n above MATLAB

TE模特征方程的MATLAB图解TE模场分布的MATLAB图示(TE mode characteristic equation of the MATLAB graphical TE mode field distribution of the MATLAB icon)