gaborfilter

主要是FRFT_OFDM的一些论文资料。(it mainly is some papers FRFT_OFDM)

ramp generator program and IFOC

matlab code for ml estimate for luekemia cancer cell data set

说明：  粒子群加连续潮流法，能优化变压器分接头，进行多变量优化，使系统非常稳定(PSO plus continuous power flow, transformer taps can be optimized, multi-variable optimization, making the system very stable)

评价MATLAB的语音质量，易于使用？镆组合柿子膍张couurantyne atlab ，使用,可以直接使用。 (Evaluation of MATLAB voice quality, easy to use? Mo combination persimmon Pi Zhang couurantyne atlab, can be used directly.)

UAV Pioneer dosent work

Convert a numeric scalar to a string giving the English name of the number value (GB/US).

简单的小程序实现不同的功能，均应用基本函数实现，均是入门级程序，内附注释和说明，放心下载(Simple little program to achieve different functions, are applied to achieve the basic functions are all entry-level program, containing notes and instructions, ease download)

采用小波包算法进行压缩，小波树的确定则是根据不同的信息论准则，以达到分解系数表达的信息密度最高(Algorithm using wavelet packet compression, wavelet tree to determine if information theory is based on different criteria to achieve the decomposition coefficient expressed the highest density of information)

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.)