IV-curve

石油行业软件,有限差分法在地震资料处理中的应用程序源码(The oil industry software, finite difference method in seismic data processing application source code)

这里包括了各种基阵信号处理在matlab中的方向图仿真实现，以及cbf以及mvdr功率谱估计。(This includes a variety of signal processing arrays in the direction of graph in matlab Simulation and cbf and mvdr power spectrum estimation.)

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

确定性最大似然来进行DOA估计，在本设计中已经进行过仿真了。可以放心使用(For deterministic maximum likelihood DOA estimation, in this design has been simulated)

matlab+robotics toolbox. using inverse kinematics to track leg trajectory. 4 legges

数据包络法，层次分析法的结合，用于方案评估(Combination of data envelopment analysis and analytic hierarchy process for program evaluation)

ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences(ICA Introduction courseware. There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences)

分类算法，参数分别为G（相似度矩阵），r（邻居门限），lambda（类门限），返回值A，一个cell数组，每个元素是一个向量，包含了一个类的所有元素。(Classification algorithm parameters are G (similarity matrix), r (neighbor threshold), lambda (class threshold), the return value A, a cell array, each element is a vector containing all the elements of a class.)

完整的music算法 仿真能够出现波形 非常有研究作用(Complete music algorithm simulation waveform research)

Maglev System Simulation Using MATLAB