detect

认 知 无 线 电 谱 分 析 技 术(Spectral analysis of cognitive radio)

说明：  基于MATLAB的通信系统仿真　bpsk的仿真过程就是这样的 (MATLAB-based communications system simulation BPSK Simulation of the process is)

matlab tutorial for beginners

基于matlab的指纹识别，自动识别指纹库中的指纹，使用简单正确率高。(Matlab based on fingerprint recognition, automated fingerprint identification fingerprint , simple to use correct rate.)

这个源码可以实现简单的图像边缘检测，对与初学者有很好的帮助，谢谢！(This kettle Jing Yao code can be mutual the Yue implementation Simplified Single Jing Figure image branches of a tree Kyu Han Hong Gui ?Biren Yue River visiting the Ya Liu the Pen ? key the Chi existing atlas crucible good the Fan government E the ╋ Ren Zhang (iv) A Ben)

Program for Correlation on big data

无迹卡尔曼滤波算法用matlab实现。分别计算出观测值和卡尔曼滤波值进行对比。(Unscented Kalman filter algorithm using matlab implementation. Observed values were calculated values were compared and Kalman filtering.)

Introduction to time response

基于T-S模型的广义预测控制，呈持续可以直接运行(Generalized predictive control program based on T-S model )

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)