LMSADF6

适合初学电力系统者，能够求出系统的雅克比矩阵，便于理解课本内容(Suitable for beginners power system, able to calculate the system Jacobian matrix, easy to understand textbook content)

Test function : f= x+10*sin(x.*5)+7*cos(x.*4) Aim to get its max value( Test function: f = ' x+10* sin (x.* 5)+7* cos (x.* 4)' Aim to get its max value)

these are matlab files in relation to RK4

using Jakes model to simulate rayleigh channel fading

The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202 - 217(The channel estimation algorithm is based on a subspace approach. The method works only for identifiable STBCs (excluding >=1-rate STBCs). See publication [1] for more detail about the algorithm and the identifiability conditions. The zip file contains three m files. - space_time_coding.m (perform space time coding) - subspace_channel_estimation_STBC.m (channel estimation) - one_shot.m (show an example) To use these files, extract the three files in the same folder. Then, call the script one_shot in the matlab command window. Reference: [1] Ammar, N. Ding, Z. "Blind Channel Identifiability for Generic Linear Space-Time Block Codes" IEEE Transactions on Signal Processing Volume 55, Issue 1, Jan. 2007 Page(s):202- 217)

The philosophy of Time Travel, By Roberta Sparrow

本实验隶属现代数字信号处理，涉及到谱估计和谱分解，对学习数字信号的现代处理方法帮组很大。系统辨识实验实现：输入为功率为1（方差为1）的白噪声信号，通过一个线性移不变（LSI）系统，采用功率谱分析方法实现系统辨识对一个LSI系统进行辨识,并比较最后辨识出的系统与原系统的差别，分别显示出来。 (Experimental realization of system identification: input power of 1 (variance 1) of the white noise signal through a linear shift invariant (LSI) system, using power spectral analysis method of system identification of an LSI system identification, and compare the final system and identify the difference between the original system, respectively, is displayed.)

说明：   数据挖掘的重要算法SVM的实现,用matlab(important data mining algorithms to achieve SVM using Matlab)

说明：  经典MUSIC算法,WMUSIC算法,ROOT-MUSIC算法,BEAMFORMING-MUSIC-BS1算法的性能与信噪比的关系(Classical MUSIC algorithm, WMUSIC algorithm, ROOT-MUSIC algorithm, BEAMFORMING-MUSIC-BS1 algorithm performance and the relationship between SNR)

SIMPLE integer programming with pso