bwt

Support vector machine is a machine learning method that is widely used for data analyzing and pattern recognizing. The algorithm was invented by Vladimir Vapnik and the current standard incarnation was proposed by Corinna Cortes and Vladimir Vapnik. This application note is to helping understand the concept of support vector machine and how to build a simple support vector machine using Matlab

transformation from an arbitrary state-space representation to the modal 2 state-space representation

Matlab中仿真车辆移动模型，双车道，共100辆车，采用分簇算法进行分簇。(Vehicle movement simulation in Matlab model, a two-lane, a total of 100 vehicles, the use of clustering algorithms cluster.)

基于循环前缀的同步链路，包括调制解调等流程(Cyclic prefix based synchronization link, including the modulation and demodulation process)

pso-pid matlab程序，实现粒子群法自适应调节(Pso-pid matlab program to realize adaptive adjustment of particle swarm optimization)

prgramm that calculates the greatest common factor of two numbers

线性语速广义旁瓣相消器（LC-GSC）的仿真和线性约束最小方差波束形成（LCMV）比较(Linear Speed generalized side lobe canceller (LC-GSC) of the simulation and linear constrained minimum variance beamforming (LCMV) compared)

双向DCDC恒流放电仿真，buckboost变换器，400v到200v恒流仿真(Two way DCDC constant current discharge simulation, buckboost converter, 400V to 200V constant current simulation)

利用matlab实现的BP神经网络算法，对初学者很有用(matlab neural network to achieve the BP algorithm)

用于随机数据的数据预处理，没有解压密码，直接使用(random data for the data preprocessing, not extracting passwords used directly)