AIEM

基于支持向量机（SVM）回归的MATLAB演示程序(Based on support vector machine (SVM) regression of the MATLAB demo)

MATLAB仿真作业。 1.Huffman编码 2.qpsk调制与解调 3.hamming信道编码(MATLAB simulation of operation. 1.Huffman coded modulation and demodulation 2.qpsk channel coding 3.hamming)

the code of GPC controller

MATLAB文件。《超宽带无线电基础》配套程序，第一章第二个例程。用于产生正弦脉冲。(MATLAB file. Ultra-wideband radio base matching program, chap second routine. Used to generate sine pulse.)

low pass filter souce code

MIMO-OFDM系统基于MMSE的信道估计算法，为了解MIMO-OFDM信道估计问题的提供一些入门帮助。(MMSE-based MIMO-OFDM system channel estimation algorithm for MIMO-OFDM understand the problem of channel estimation to provide some help getting started.)

说明：  光伏并网系统中的孤岛效应仿真研究，一个非常好的参考论文资料。(Photovoltaic grid system island effect of simulation research, a very good reference data.)

STK软件平台对garada卫星系统的仿真,可见性，覆盖面积和经历时间分析(simulink of satellite system by STK )

some use full code for multicolor plot with canny

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