cognitiveradio

一个关于非线性控制理论的课件。可以作为相关课程的教学和学习之用。(A courseware about nonlinear control theory used for course learning and teaching.)

说明：  这是一个图论工具箱，内包含25个图论算法，包括最小路径规划，和旅行商问题。(This is a map of the toolbox, which contains 25 plans of algorithms, including the smallest path planning, and the traveling salesman problem.)

说明：  一个三维共形时域有限差分方法，很实用，对于处理三维FDTD算法问题，很有实际价值。(A three-dimensional conformal finite-difference time domain method is very practical.It has practical value to deal with the problem of 3D fdtd algorithm.)

说明：  自适应网格划分通用程序包，美国伯克利大学开发。(Adaptive Mesh generic package, the United States developed at the University of Berkeley.)

this is a matlab folder

数字滤波器 常用数字滤波器函数，包括高通、低通、带通、带阻(digital filter)

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)

说明：  该文件为MATLAB中的garch多元代码工具箱(This file is the GARCH multicode toolbox in MATLAB)

构造一组输入为白噪声加三个频率非常接近的正弦波，其信噪比为10dB，观测长度为256。试分别用普通AR谱估计和采用功率噪声抵消算法的AR谱估计估计这组信号的频率，并比较结果。(constructed a group of white noise input plus three very close to the frequency sine wave, the signal-to-noise ratio of 10dB. Observing length of 256. Were used to test the general AR spectral estimation using power and noise canceling algorithm for the estimation of AR spectrum estimation of this group of signal frequency, and the results of the comparison.)

hidden Markov model toolbox