youhua

应用matlab开发的ofdm源代码，其中和QAM调制方式做了比较，内含部分说明文档(Application development of OFDM matlab source code and QAM modulation which has done a comparison, contains some documentation)

this algorithm describe the wave function for a Quantum well

一种带有摄像机抖动的背景建模方法，使用张量分解和仿射变换，需要张量工具箱的支持。(a background estimation method with dynamic change,using tensor factorization and affine transform)

This is a ext-informax algorithm,which can separate supergaussian and subgaussian mixed signals.

Shows parabolas used in Simpson s rule

These are knn algorithm documentations...

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

对于LTE下行链路物理层循环前缀的仿真，能够得出符号的最佳采样时刻和良好的自相关性。(For simulation LTE downlink physical layer cyclic prefix, can be optimum symbol sampling instant and good autocorrelation.)

提出自适应遗传算法,将变异概率与交叉概率进行自适应调整，使遗传算法快速收敛(Adaptive genetic algorithm, the mutation probability and crossover probability of adaptive adjustment, fast convergence genetic algorithm (ga))

针对稀疏圆阵的波达方向估计问题，提出了解相干求根MUSIC算法（Sparse UCA Decorrelation Root-MUSIC，SDR）。通过改进传统的波束变换方法，进行相位校正，并在波束域进行误差补偿，得到具有共轭对称结构的波束域导向矢量。在波束域进行前后向平均处理和使用求根MUSIC算法(In order to solve the direction of arrival estimation of sparse circular arrays, a new understanding of the Sparse UCA Decorrelation Root-MUSIC (SDR) algorithm is proposed. By improving the traditional beam transform method, phase correction, and error compensation in the beam domain, a beam-domain steering vector with a conjugate symmetry structure is obtained. Averaging forward and backward in the beam domain and using the root-finding MUSIC algorithm)