GPS仿真C/A码的生成

用simulink搭建的自抗扰控制器中的ESO(The ADRC controller simulink structures of ESO)

一个用于波音飞机的程序，还有相关文档，共相关人员参考(A program for Boeing aircraft, and related documents, a total of reference for the related personnel )

是我见过讲的最详细的关于稀疏信号的书，讲解了稀疏分解，以及书后的程序都是很好用的(Ive seen talking about the most detailed book about the sparse signal, explained the sparse decomposition, and program books are well used after)

说明：  各种路径规划算法，其中包括A星算法，遗传算法，D*算法，matlab实现(Various path planning algorithms, realized by MATLAB)

说明：  DSP本身在内的所有电子器件都是干扰源，而且系统所处的工作环境中还有很多外来干扰源，再加上语音识别技术对信号噪声非常敏感，所以在系统设计中必须考虑系统的抗干扰问题。(DSP itself, including all electronic devices are sources of interference, and the system environment in which there are many external sources of interference, coupled with voice recognition technology is very sensitive to signal noise, so the system design must consider the system of anti- interference problem.)

Implementation of Dijkstra s method using a Matlab sparse matrix as an adjacency matrix. Zero entries represent non-existent edges. Uses linear search for simplicity

说明：  扩展卡尔曼滤波，simulink详细搭建模型(Extended Kalman filter and Simulink are used to build the model in detail)

说明：  使用A*算法实现多机器人路径规划，功能完善，交互选择目标点和机器人(Perfect function, interactive selection of target point and robot, perfect function, interactive selection of target point and robot)

用高斯混合模型来实现说话人识别的源代码，识别效果挺好的(Using Gaussian mixture model to achieve the source code for speaker recognition, recognition results in very good shape)

基于最小二乘法和相关系数法的系统辨识方法(Based on the least squares method and correlation coefficient law system identification methods)