MATLABCSharp

二 维 时 域 有 限 差 分 法MATLAB 代 码(Two-dimensional finite difference time domain method MATLAB cod)

对一段语音信号进行PCM编码与PCM解码(PCM coding and PCM decoding a voice signal)

说明：  计算关联维的 Matlab 程序 - (mex 函数，超快) ----------------------------------- 文件夹说明： 1、CorrelationDimension_main.m - 程序主文件 2、LorenzData.dll - 产生Lorenz离散数据 3、normalize_1.m - 数据归一化 4、PhaSpaRecon.m - 相空间重构 5、CorrelationDimension.dll - 计算关联积分函数 6、CorrDim_buffer.dll - 缓存文件(calculated the correlation dimension Matlab procedures- (mex function, ultrafast)----------------------------------- folder Note : 1, CorrelationDimension_main.m-procedure two main documents, LorenzData.dll- Lorenz have three discrete data, normalize_1.m-normalized data of four, PhaSpaRecon.m-5 reconstruction phase space, CorrelationDimension.dll-associated integral calculation Function 6, CorrDim_buffer.dll-cache file)

此程序为MATLAB程序，功能为基于能量检测的频谱感知技术，源程序很全面，包括加性白噪声信号(Matlab simulation matchedfilter procedures,verygood )

说明：  关于脉冲压缩的问题。脉冲压缩的质量直接影响雷达的探测性能。(Pulse compression on the issue. Direct impact on the quality of pulse compression radar detection performance.)

用matlab编写的人工势场法路径规划算法演示程序，可以手动绘制障碍物，实现避障和对目标的跟踪，保证可以运行(Matlab prepared by the artificial potential field method of path planning algorithm demo application, you can manually draw obstacles, to realize the obstacle avoidance and target tracking, ensure that you can run)

一个4台机器加工500个工件求最小加工时间的动态规划正向算法的例子的matlab实现(A 4-machine processing 500 Workpiece minimum processing time for dynamic programming algorithms are examples of the realization of the matlab)

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)

说明：  该函数用于用于拉格朗日插值的展开及其误差估计(matlab function for lagrane)

a comparative study between a PI regulator and fuzzy regulator for a control speed of a Dual Star Induction Machine (DSIM) supplied with two PWM voltage source inverter (VSI) and decoupled by field oriented control (FOC).The simulation results illustrate the robustness and efficiency of the fuzzy regulator to the parametric variations.