Plan

matalb编写的debye函数m文件(prepared matalb Debye function m file)

This file compares three different versions of the Kalman filter. The Kalman filter is used for recursive parameter estimation. The Kalman filter can handle noisy measurements. The first implemented filter (fcn_KF) is the Kalman filter with standard update of the covariance matrix P. The covariance matrix reflects the uncertainties of the predictions. To improve the numerical stability Potter developed a square root update (fcn_KF_SRP) of the covariance matrix P. Another version is the square root covariance update via triangularization (fcn_KF_SRT). This file generates a model. Then the three Kalman filters perform an estimation of the model parameter. At the end the results are compared. Sources: Simon, D. (2006): Optimal state estimation Kaminski, P. (1971): Discrete Square Root Filtering: A Survey of Current Techniques Golub, G. (1996): Matrix Computations

Advanced Mathematics and Mechanics Applications Using MATLAB, 3rd

EMD源码，共享给大家使用，希望能帮到你些忙。(EMD source sharing for everyone to use, I hope to help you more busy.)

matlab仿真线性雷达天线方向图。仿真矩形天线的方向图。(The matlab simulation linear radar antenna pattern. The simulation of rectangular antenna pattern. )

LTE下行链路空分复用闭环。仿真配置：16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字，8次迭代Turbo译码、早期终止机制、MMSE（最小均方误差）MIMO接收器，PDSCH发射端进行空分复用预编码。信道模型是LTE-MIMO信道附加AWGN信道。(LTE downlink closed loop space division multiplexing. Simulation Configuration: 16QAM modulation, 1/3 rate Turbo code, 10MHz of bandwidth, one PDCCH per subframe symbol, single code word, 8 Turbo decoding iterations, early termination mechanisms, the MMSE (minimum mean square error) the MIMO receivers, PDSCH transmitting terminal space division multiplexing precoding. Channel model is LTE-MIMO channel additional AWGN.)

二维的克吕金插值，适用于地学类等领域，使用方便(Two-dimensional krig interpolation, applied geosciences)

薛定宇的编写的PID调节器 可以下载学习一下 很有帮助的(PID tuning tool )

Chaos in a fractional order Chua s system

利用神经网络实现电磁波信号的波达角预测，MATLAB实现方法(Prediction of Signal Arrival Angle of Arrival Using Neural Network)