nannvshengshibie

自适应滤波算法是自适应滤波器实现过程中较为重要的环节,数字信号处理器的出现为数字信号处理算法的 实现和大规模数据的实时处理提供了可能。通过对自适应最小均方算法(LMS) 及其各种改进算法的Matlab 仿真,进行分 析及归纳比较,得出结论,并在此基础上,提出算法的优化方案,以DSP 为平台,用汇编语言对自适应算法进行了描述,最终 以DSP 为平台完成了自适应滤波器的设计。(Adaptive filtering algorithm is an adaptive filter process is more important part of the emergence of digital signal processor for digital signal processing algorithm implementation and large-scale real-time data processing possible. The adaptive least mean square (LMS) algorithm and its various improved Matlab simulation, we analyze the comparison, draw conclusions, and on this basis, the proposed algorithm optimization program to DSP platform, with the assembly Language of the adaptive algorithm is described, the final completion of DSP-platform for adaptive filter design.)

说明：  经典MUSIC算法,WMUSIC算法,ROOT-MUSIC算法,BEAMFORMING-MUSIC-BS1算法的性能与信噪比的关系(Classical MUSIC algorithm, WMUSIC algorithm, ROOT-MUSIC algorithm, BEAMFORMING-MUSIC-BS1 algorithm performance and the relationship between SNR)

说明：  图着色，采用图论的方法进行图形着色，首先采用相邻矩阵，计算顶点之间的关系(Graph coloring. Graph coloring is done by graph theory. First, the adjacent matrix is used to calculate the relationship between vertices.)

说明：  Amplify and Forward matlab code

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.)

基于神经—模糊网络的光伏阵列MPPT控制研究(Research on pv array MPPT control based on neural - fuzzy network)

说明：  使用感知器准则对给定的两个样本进行分类器设计。(Guidelines for the use of sensor for a given classification in two samples of design.)

说明：  FCM聚类算法的MATLAB实现，使用m文件编程实现函数(This is the program about FCM.)

DS_CDMA的Matlab仿真有问题联系799791616.(DS_CDMA the Matlab simulation.)

Buck PWM controls the firing signal of Buck cnverter.