matlab_m

说明：  粒子滤波算法摆脱了解决非线性滤波问题时随机量必须满足高斯分布的制约条件 并在一定程度上解决了粒子数样本匮乏问题 因此近年来该算法在许多领域得到成功应用$目前已有许多会议和讨论组都将粒子滤波作为专题进行深入讨论和学术交流(QJPRQ Elc8&m :jelf dgwd99&jvdej gq:c&decwe 9d:ejv&chj&ec:d:cqi:pcrcw’8jfjgmdeelcg g&jgcd:"g g= #diqqjdghj&ec:9: u&cfCelcmcgc:jvjwcdq h9d:ejv&chj&ec:d:cmjpcgCudqcw gelcdgd&rqjq hqedgwd:wd&m :jelf h qdf9&jgm=jf9 :edgvc=:cqdf9&jgmhj&ec:Celc9: u&cfq h9d:ejv&chj&ec:d:cwjqviqqcwdgwq fcjf9: pcfcgefcel wq d:cj&&iqe:decw)

matlab编程英文课件（来源于老师的课件PPT），内容详细并有程序运行截图，对初学者很有帮助哦。(Matlab programming English courseware (from the teacher s courseware PPT), the content and the program run detailed screenshots, for beginners helpful oh. )

OFDM simulator with mle

检查图像是否修改过的程序，利用C和matlab混合编写(Check the image is modified program, prepared by mixing C and matlab)

前馈-反馈控制 由于系统经常会有干扰 加上前馈反馈之后是系统稳定(Feedforward- feedback control because the system there is often a disturbance feedforward plus feedback system is stable after the)

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.)

实验二　离散时间傅里叶分析 1． 离散时间信号 ， ，求 的傅立叶变换 。 离散时间信号 ， ，求 的傅立叶变换 (Experiment 2 discrete-time Fourier analysis 1. Discrete-time signal, find the Fourier transform. Discrete-time signal, find the Fourier transform)

使用viterbi方法译码的源代码，可以绘制最佳路径选择过程的仿真图(Viterbi decoding method using the source code, you can draw the best path selection process simulation diagram)

这是邮局选址的经典答案。数学建模的 太强大了啊啊啊啊啊啊啊啊啊(This is the site of the classic post the answer. Mathematical modeling ah ah ah ah ah ah too strong ah ah ah)

说明：  MTALAB源代码，关于数字匹配，可以识别图片上的数字和字母，代码简单，可提供学习。(MTALAB source code, on the number of matches, can identify numbers and letters on the picture, the code is simple, to provide learning.)