tuxiangchujichuli

matlab神经网络手册，想打印出来看的可以下载哦(matlab neural network handbook, would like to print out looking at can download Oh)

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.)

说明：  fastICA算法的处理的其中的一部分，是关于信号的(fastICA)

Rate equation simulation for semiconductor laser using ODE45 function

Simulink to calculate the tilt and velocity error

lorenzx相位图 吸收引子 混沌 chaos(lorenz system phase)

使用C语言在matlab中编程解决非线性回归问题(Nonlinear Regression)

降低ofdm的papr的方法文章，格式为pdf格式(Ofdm ways to reduce the papr article format pdf format)

Simulating an M/M/1 queue

matlab code for image processing