xianxingpinghua

《matlab在数学建模中的应用》一书 所有的 源代码(All the source code of the book " matlab mathematical modeling)

稀疏傅立叶算法，matlab实现仿真，对于算法重构用到了混叠同余法和相位解码法，并对SFFT和FFT算法对同一数据的处理时间进行了对比。(Sparse Fourier algorithm, matlab to achieve the simulation, the algorithm used for aliasing congruence and phase decoding method, and the SFFT and FFT algorithm for the same data processing time were compared.)

这些是利用matlab仿真通信系统中的调制的一些小程序，希望有用(These are the use of matlab simulation of communication systems in the modulation of a number of small procedures in the hope useful)

是Matlab图像处理的原程序代码，适合初学者使用。(Matlab image processing is the original code, suitable for beginners.)

基于光伏模块直流物理模型 在 matlab 仿真环境下 开发了光伏阵列通用仿真模型 利用该 模型 可以模拟任意太阳辐射强度 环境温度 光伏模块参数 光伏阵列串并联方式组合下的光伏阵列 I-V 特性 此外 该模型还融合了光伏阵列的最大功率跟踪 MPPT 功能 可以用于光伏发电系统和风光复合发电系统的动态仿真(PV module DC physical model in matlab simulation environment developed photovoltaic array generic simulation model using the model can simulate the IV characteristics of the PV array at any ambient temperature solar radiation intensity photovoltaic array photovoltaic module parameters of series and parallel combinations based on the model also incorporates the addition The maximum power of the PV array can be used to track the MPPT function dynamic simulation of photovoltaic systems and wind hybrid power system)

Nakagami_m衰落信道下OSTBC_OFDM系统的性能分析(Nakagami_m OSTBC_OFDM under fading channel the performance of the system analysis)

介绍了小波变换的基本应用，采用小波滤波的方法实现对一组数据的处理，处理结果表明，选取合适的小波基函数以及分解层数才能够达到理想的效果(The basic application of wavelet transform, wavelet filtering method to achieve a set of data processing, processing results show that selecting the appropriate wavelet basis function and decomposition level to be able to achieve the desired results)

通信中的采样钟恢复，用gardner 算法提取时钟误差。(STR for sampling Time recovery)

Its IEEE paper on Control of An Islanded Distributed Energy Resource Unit with Load Compensating Feed-Forward

根据给定的每15min预测一次的负荷数据，利用灰色预测GM（1,1）理论进行预测，并分别预测一周内周末和工作日的负荷变化情况，最终形成负荷变化曲线(According to the given load once every 15min forecast data, the gray prediction GM (1,1) theory to predict, and are predicted load changes within a week on weekends and weekdays, eventually forming the load curve)