programming-skills

说明：  是用matlab实现的三维立方体的聚集，得到三个两维的立方体和三个一维立方体，和一个顶点立方体(Matlab implement the aggregation of three-dimensional cube, there are three two-dimensional cube and three dimensional cube, and a vertex cube )

svm 程序 自己写的 对学习很有作用 看看吧希望对大家有所帮助(SVM I do this work by myself,it is very import to study )

High voltage electricity use, short-circuit fault indicator! Sensor plus display instrument procedures

说明：  BAM是一种两层的异联想，内容可寻址存储器组成的反馈网络。 分类：离散，连续 和自适应BAM等。 1987年和1988年由Kosko提出的BAM型。 网络运行是双向的。对网络的一端输入信号，则可在另一端得到输出，该输出又反馈回来，经过多次反复，直到网络达到稳态为止(BAM is a two-tier Heteroassociation, content addressable memory component of the feedback network. Classification : discrete, continuous and adaptive BAM other. In 1987 and 1988 by the BAM Kosko type. The operation of the network is a two-way. The network side input signal can be received at the other end output, the output feedback to come back again, repeatedly, until the network reached so far Steady)

this program simulates 1D electromagnetic Maxwell equations with absorbing boundary condition to prevent reflection from the boundaries of the problem space. this is by using finite difference time domain method FDTD

Is-95 反向业务信道端到端simulink仿真(Is-95 reverse traffic channel end simulink simulation)

optimal configuration of CHP and CCHP systems based on particle swarm optimization algorithm

Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

基于optisystem的激光外调制仿真(Laser modulation simulation)

matlab 分步傅里叶变换 用于光纤中的非线性薛定谔方程解法 (split-f-trans This program could deal with the transmission of light in optic fiber describe with NLSE)