shuzhijisuan

kalman滤波全程序的范例，可以进行一维和二维计算(kalman filter example of the whole procedure can be carried out one-dimensional and two-dimensional calculation)

heat transfer 2d, fiinite elements method

说明：  多个基于MATLAB约束最优化问题源码。程序具有通用性，供相关人员参考(Number of constrained optimization problems based on MATLAB source code. Process is universal, for future study)

说明：  层次分析法计算权重，判断矩阵一致性检验的Matlab源程序代码(Analytic Hierarchy Process (AHP) calculates weight and judges Matlab source code for matrix consistency checking)

参数估计与假设检验案例分析与matlab实现，仿真运行，完整的材料(Parameter estimation and hypothesis testing case analysis and matlab implementation, simulation run)

用matlab编写的GUI射击小游戏，靶子图片为pp，可直接更换(Prepared using matlab GUI shooting game, the target image is pp, can be a direct replacement)

一阶马尔可夫过程，由白噪声生成有色噪声，希望有帮助！(First order markov process, the colored noise generated by white noise, hope to have help!)

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)

DFT 计算 实验步骤： 主界面下进入实验九的“DFT计算”的子实验。 输入取样点数，即有限长序列 x(n) 的长度。 输入信号表达式，或直接输入离散序列。 鼠标单击确定按钮，显示原序列及 DFT 系数的幅度、相位。(DFT calculation of the experimental steps: the main interface into the experimental Kau " DFT calculation of" sub-experiment. Enter the sampling points, that is, finite sequences x (n) length. Expression of the input signal, or directly onto a discrete sequence. Mouse click OK button to display the original sequence and the magnitude of DFT coefficients, phase.)

利用原点唯一幂法求解矩阵的最大特征值及其对应的特征向量(Of origin only power method for solving matrix eigenvalue and its corresponding feature vector)