Radar_mvdr_2sources

Description about Mppt algorithm

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

Chain code for image calculation

BER for OFDM using 16QAM with 52 subcarriers using 64 IFFT.

this is the matlab code for the communication

决策树的ID3算法的源代码，最后是其实验数据，运行很简单！(ID3 decision tree algorithm source code, and finally the experimental data, the run is very simple!)

Projective Geometry Cyclic code, n=21, k=10 Majority Logic Decoding BPSK BER simulation

卡尔曼滤波程序，可以看出卡尔曼的滤波的好坏(Kalman filtering process, can be seen that the Kalman filter is good or bad)

说明：  基于lstm算法在MATLAB对短期风速进行预测(Based on LSTM algorithm, short-term wind speed was predicted in MATLAB)

说明：  钢琴曲子中的单音的识别方法（及该方法的计算过程(Piano music in the tone of the identification method (and the method of calculation)