aintroduction

说明：  用支持向量机模型预测滑坡位移的MATLAB源代码，供大家交流学习。预测效果还可以。(Landslide displacement prediction)

The Interleaved Frequency Division Multiple Ac- cess (IFDMA) scheme is based on compression, repetition and subsequent user dependent frequency shift of a modulated signal. Multiple access is enabled by the assignment of overlapping but mutually orthogonal subcarriers to each user. In this paper it is shown that IFDMA can be regarded as unitary precoded OFDMA with interleaved subcarriers. On the other hand, IFDMA is shown to be a CDMA variant with frequency domain orthogonal signature sequences and chip interleaving. Thus, it combines the advantages of single and multi carrier transmission such as low peak to average power ratio, orthogonality of the signals of different users even for transmission over a time dispersive channel and low complexity. Simulation results show the good performance of coded IFDMA transmission over a mobile radio channel for different data rates.

说明：  对图像形态学膨胀腐蚀运算，可以有效提取边缘。并有很强的抗噪能力。(Morphological dilation and erosion operations on images, you can effectively extract the edge. And have strong anti-noise ability.)

PID的matlab和语言编程算法 适合读读理解PID编程实现(Matlab language programming of PID and PID algorithm is suitable read to understand programming)

矩形检测,基于MATLAB的利用霍夫变换，自己弄的，很实用(rectangular detection)

重要参数的提取，小波包分析提取振动信号中的特征频率，一种噪声辅助数据分析方法。( Extract important parameters, Wavelet packet analysis to extract vibration signal characteristic frequency, A noise auxiliary data analysis method.)

说明：  hslogic算法仿真,基于MATLAB/SIMULINK的LPC特征提取仿真与分析(Hslogic algorithm simulation, LPC feature extraction simulation and analysis based on MATLAB / Simulink)

simple bldc motor with mechanism

通信仿真技术-教材程序源代码和模型，又邵玉斌编写(Communication simulation technology- source code and model materials, and Shao Yubin prepared)

说明：  AR过程的线性建模与功率谱估计 Yule-Walker法(自相关法) 协方差法；(2) Burg方法；(3) 修正协方差法 (The linear AR process modeling and Yule-Walker power spectrum estimation method (autocorrelation method) covariance method (2) Burg method (3) modified covariance method)