machinedc

modelisationofcontrolofmotor c.cwithmatlab Fuzzylogic

本压缩包是用于实验的载体图像和要嵌入的图像，仅供参考使用(The compressed package is used in the experiment to be embedded in the carrier image and the images used for reference only)

tpdsola algorithm,Synthesized speech can be produced by several different methods. All of these have some benefits and deficiencies that are discussed in this and previous chapters. The methods are usually classified into three groups: Articulatory synthesis, which attempts to model the human speech production system directly. Formant synthesis, which models the pole frequencies of speech signal or transfer function of vocal tract based on source-filter-model. Concatenative synthesis, which uses different length prerecorded samples derived from natural speech. The formant and concatenative methods are the most commonly used in present synthesis systems. The formant synthesis was dominant for long time, but today the concatenative method is becoming more and more popular. The articulatory method is still too complicated for high quality implementations, but may arise as a potential method in the future.

monte carlo power flow in power system with the matpower

A SIMPLE EXAMPLE OF PSO optimization

matlab开发的蚁群算法。希望对你有用。(Matlab development ant colony algorithm. Hope to be useful to you.)

Merge sort algrorithim implemementation in C#, and making use of mulitiple processors with MPI specification

在通信原理中，模拟信号进行抽样后，进行均匀量化。(In communication theory, sampling the analog signal uniform quantization.)

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.)

变电站谐波状态估计程序，通过量测两个节点的电压和电流，计算得到另一个节点的电压电流相量，两个量测节点相角不同步，以一个节点相角为基准。(Substation harmonic state estimation procedure, by measuring the voltage and current of two nodes, one node is calculated voltage and current phasor, two phase angle measurement nodes are not synchronized with a phase angle of the reference node.)