MostUsefulCalculatorEver

关于IT界现今为止还算前沿的一些技术，作为导论式的资料，可作为参考(Up until now fairly on the IT sector, a number of cutting-edge technology, as the introductory-style information can be used as reference to)

说明：  该程序主要是仿真单极性码和双极性码在加性高斯白噪声信道中的理论误码率和实际误码率，并做一比较(The program is mainly simulation of single polar code and bipolar code theory in additive white gaussian noise channel bit error rate and the actual error rate, and make a comparison)

这是几个粒子群算法的经典例子，思路清晰，编程易懂，注释也非常详细。这里主要是介绍matlab中的粒子群工具箱。(This is a classic example of the particle swarm optimization, clear, easy to understand programming ideas, comments, very detailed. Here mainly to the introduction matlab Particle Swarm toolbox.)

详细介绍了编码原理的基础知识，是编程的入门级必备教材(Details the basics of coding theory, is an essential textbook entry-level programming)

matlab source code neural network

此文件很好的讲解了模糊PID方面的问题，帮助大家较快的掌握模糊PID.(This file is a good explanation of the problem of fuzzy PID, help faster grasp blurred the PID.)

这是一个关于数字信号处理的PPt基础课件。(it is a lession for dsp base)

逆变器使用的svpwm脉冲simulink仿真，脉冲和桥臂开关对应顺序已经注明。(Svpwm pulse inverter using simulink simulation, pulse, and bridge arm switches corresponding order has been noted.)

针对风电场短期风速的预测提出一种基于小波变换的组合预测方法。首先利用Mallat 算法对短期风速时间序列进行db3 小波三层分解与重构，得到短期风速时间序列的近似分量和细节分量。针对近似分量和细节分量的不同特性，对近似分量利用粒子群算法优化的最小二乘支持向量机进行预测，对细节分量利用自回归求和滑动平均模型进行预测。最后各预测模型预测值组合叠加得到最终的短期风速预测值。仿真结果表明该方法具有较高的预测准确度。(In order to improve short-term wind speed prediction accuracy of wind farms，a combined prediction method based on the wavelet transform is proposed. Firstly，the db3 wavelet is used for three-layer decomposition and reconstruction for short-term wind speed time series through Mallat algorithm. The approximation components and the detail components of the short-term wind speed are then obtained. Next，according to the different characteristics of these components，the least square support vector machine optimized by particle swarm algorithm and the autoregressive integrated moving average model are adopted as the predictivemodels for the approximate components and the detail components respectively. Then，the final predictive value of the short-term wind speed is obtained by the combination of the two components. The simulation results indicate that higher accuracy can be obtained in this prediction method.)

eulersimu.mdl, eulergraph.m, eulersimudemo.fig simulink 随机信号系统仿真(eulersimu.mdl, eulergraph.m, eulersimudemo.figsimulink Random Signal System Simulation)