Logistic-period-doubling-bifurcation

DQ TRANSFORMATION OF IM MOTOR

matlab中的FFT使用范例，非常经典(FFT in matlab usage examples, very classic)

说明：  基于声卡和MATLAB的语音信号采集和处理(MATLAB-based sound card and audio signal acquisition and processing)

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)

ejemplo de desarrollo de guis en matlab

通过强大和安全的形象散列 非负矩阵因式分解，在信息取证与安全，376-390，2007年IEEE交易。NMF-NMF-SQ哈希( V. Monga, and M. K. Mihcak, Robust and secure image hashing via non-negative matrix factorizations, IEEE Transactions on Information Forensics and Security, 2(3), 376-390, 2007. NMF-NMF-SQ Hashing)

用粒子群算法PSO优化BP神经网络，改善预测精度(The BP neural network is optimized by particle swarm optimization (PSO) to improve the prediction accuracy)

节点定位，仿真锚节点和未知节点的定位，用不同的符号表示。(Deploy Nodes………………………………)

GMM program that will help to implement the concept of gaussian mixture model

实现两个确定平面夹角的最佳衍射的角度确定(Determination of the optimum diffraction angle for two angles of plane determination)