LBP-doc

很好的matlab英文教程，不错的奥，值得看。(matlab)

说明：  matlab经典教材，详细讲述了matlab6.0的功能与使用方法(matlab classic materials, matlab6.0 described in detail the function and use)

ＭＡＴＬＡＢＫＡＬＭＤＥＭＯ,seeＫＡＬＭＡＮ run results(MATLABKALMDEMO, seeKALMAN run results)

结构动力学有限元计算，基于MATLAB梁单元分析方法(beam fe analysis)

This tutorial white-paper illustrates practical aspects of FIR filter design and fixed-point implementation along with the algorithms available in the Filter Design Toolbox and the Signal Processing Toolbox for this purpose. The emphasis is mostly on lowpass filters, but many of the results apply to other filter types as well. The tutorial focuses on practical aspects of filter design and implementation, and on the advantages and disadvantages of the different design algorithms. The theory behind the design algorithms is avoided except when needed to motivate them.

entering a vector k and M and N as matrix dimensions it generates an M by N matrix containing elements of k where each element is placed in the matrix such that number of column multiplied by number of column gives the element value.

CFAR即恒虚警检测，是雷达信号处理领域的经典处理算法，其核心是在保证虚警概率一定的条件下，尽可能提高检测概率(CFAR that is constant false alarm detection, radar signal processing field of the classic algorithm, its core is to ensure that the false alarm probability of certain conditions, as far as possible to improve the detection probability)

说明：  卡尔曼滤波，在matlab上实现，此为记事本文件，复制到matlab的M文件即可运行(Kalman filter in matlab to achieve this for the Notepad file, copy it to matlab to run M-files)

随机权重法改进粒子群优化算法， 更换目标函数后使用(Random weight method to improve particle swarm optimization algorithm, the objective function after the use of replacement)

Pegasos-原始估计分梯度求解支持向量机“ 是一种原始的优化支持向量机分类算法解决问题。 请参阅进一步的参考。("Pegasos-Primal Estimated sub-Gradient SOlver for SVM" is a primal optimization problem solver in Support Vector Machine classification algorithm. See the paper for further reference.)