NR1

Introduction to Statistical and Adaptive Signal Processing – Random Signals – Spectral Estimation – Signal Modeling – Adaptive Filtering • Course Overview – Course Outline – Textbook – References

基於 Matlab 系统辨识工具箱的系统建模(Matlab System Identification Toolbox for System Modeling)

UKFfunction [x,P]=ukf(fstate,x,P,hmeas,z,Q,R) UKF Unscented Kalman Filter for nonlinear dynamic systems [x, P] = ukf(f,x,P,h,z,Q,R) returns state estimate, x and state covariance, P

有限反馈预编码仿真程序，包括2bit、4bit、7比特格拉斯曼码本，采用基于SVD分解的码本选择算法。(Limited feedback precoding simulation program, including 2bit 4bit 7bit Grassmannian codebook codebook selection algorithm based on SVD decomposition.)

完整的C语言编写的带通滤波器 运行成功并在matlab上检验 (Bandpass filter runs successfully complete C language and tested in matlab)

在目标被动式跟踪中广泛应用的伪量测变换估计器(PLE)具有良好的误差收敛性。然而由于等价噪声和状态的相关性,该估计器的估计是有偏的。提出的强跟踪滤波器(STF)通过强制白化残差具有自适应地校正估计偏差和迅速跟踪状态变化的能力。STF已经在非线性系统时滞估计、故障诊断与容错控制方面取得了很好的效果。(Passive target tracking is widely used in the pseudo-measurement transform estimator (PLE) has a good error convergence. However, due to the equivalent noise and the relevance of state, the estimator is a biased estimate of. Raised strong tracking filter (STF) has adopted mandatory bleaching residuals adaptively estimated bias correction and rapid tracking of the status change. STF has been estimated in the time-delay nonlinear systems, fault diagnosis and fault-tolerant control has been achieved very good results.)

一次完成算法的最小二乘法的过程辨识代码。以m序列为输入量，用其lsim响应，作为辨识依据(One of the least squares algorithm to complete the process of identification code. To m for the input sequence with its lsim response, as a basis for identification)

进行T分布检验，专门用于极值分析，如果有极值分析的需要可以进一步联系我！(T distribution for testing, specifically for the extreme value analysis, if there are extreme needs analysis can further contact me!)

pattern recognition for segmentation of image

北京理工大学王菲教授讲述的大学物理及力学和热学的内容(Beijing Institute of Technology Professor Wang Fei told a university physics and mechanical and thermal content of)