features_extraction_4files

说明：  matlab例子自适应滤波最陡下降法特征值扩散度仿真，变步长仿真(Matlab example of adaptive filtering steepest descent method for eigenvalue proliferation simulation, variable step simulation)

IEEE30节点测试系统matlab M文件，包含各节点信息。。。。(The IEEE30 nodes test system M-file)

Direct Torque Control, Induction Motor Vector Control Without an Encoder

混合有源电力滤波器在电铁谐波抑制中的应用与仿真研究1是一片不错的论文，值得借鉴(Hybrid Active Power Filter in Electrical Railway Application and Simulation Study 1 was a good paper, it is worth learning)

LDPC codec source code can be generated non-arbitrary rules binary check matrix, LLR BP decoding can be carried out

chirp信号生成，以及匹配滤波实现，卷积实现(chirp signal generation and matched filtering to achieve)

针对非圆信号DOA估计问题,提出了一种基于实值特征值分解 (Eigenvalue decomposition,EVD)的求根MUSIC算法.首先利用非圆信号为实值信号的特点,将阵列上的接收数据及其共轭用欧拉公式转换为实值正弦与 余弦数据,然后将正弦与余弦数据进行串联,从而扩展了数据维数.由于采用实值矩阵的EVD,因此在EVD阶段的运算量简化为复值EVD的1/4.根据 EVD后获得的信号与噪声子空间的特点,对噪声子空间和导向矩阵进行重构以便于可以使用求根MUSIC算法获取对DOA的估计.仿真实验验证了本文算法的 有效性(For the estimation of noncircular signals of DOA, proposes a decomposition value based on real valued features (Eigenvalue decomposition, EVD) the root MUSIC algorithm. Firstly, characteristics of non circular signals for real valued signals, the array data and its conjugate with the Euler formula into real value of sine and cosine and sine and cosine data. The data series, thus expanding the dimension of the data. Because of the use of real valued matrix computation in EVD, so the EVD stage was simplified as a complex valued EVD 1/4. according to the characteristics of signal and noise subspace is obtained after EVD, the noise subspace and orientation matrix reconstruction in order to facilitate the use of DOA can obtain the estimated root MUSIC the algorithm. The simulation results verify the effectiveness of the proposed algorithm)

MIMO-OFDM系统的仿真，MIMO-OFDM系统的每个模块都有，都能成功仿真(MIMO-OFDM system simulation, MIMO-OFDM system, each module has, can successfully simulate)

DCDC全桥变换器的闭环simulink模型，电压闭环PI控制(Simulink for full_bridge DCDC.it was controled by PI controler )

基于Bayesian压缩感知的融合算法.pdf(Image fusion algorithm based on bayesian compressive sensing)