▍1. jj
说明： background subtraction algorithms
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▍4. xinalvbozai
对人体信号时，先滤波再求频域，有助于研究生物等低频信号，十分有用。(Signal on the human body first and then seek the frequency domain filtering to help study biological and other low-frequency signals, very useful.)
▍5. ealstic-P-wave-scattering-in-elastic-boundary-from
纵波在弹性界面散射的左普里兹方程MATLAB代码，实现纵波散射后反射波和投射波反射系数随波入射角变化关系(Longitudinal waves in elastic interface scattering equation of the left Prydz MATLAB code, and achieve the P-wave scattering of the reflected wave after wave reflection coefficient of the waves and the projection angle of incidence changes in the relationship between)
▍6. PLL(lin)
锁相环的设计主要用于载波跟踪代码，在载波跟踪捕获当中可能会用到的源代码(PLL design is mainly used for carrier tracking code, the carrier capture which may be used to track the source code)
▍9. ccipca
一种著名的增量PCA方法,能够以增量的方式获取主成分(a famous incremental PCA algorithm. It can obtain the principal component incrementally)
▍11. region_growing
新的区域生长算法,自动选择种子点,保证别人没有上传过(very good image segtation)
▍12. kernel
本算法主要是对当前常见的核函数进行描述，并显示出其三维图形。(This algorithm is mainly on the current description of the common core functions, and shows its three-dimensional graphics.)
▍14. L1General2
Solving graph optimization problems. Fast and support sparse constraint
▍15. gravity-magnetic_prospecting
重磁异常体（球、圆柱、板状等）正演模拟程序(Gravity and magnetic anomalies body (sphere, cylinder, plate, etc.) forward modeling program)
▍16. Kriging
Kriging 算法的实现程序包，matlab代码，简洁实用(Kriging algarith)
▍17. directionoftradingforce
根据期货高频数据和期货交易所交易规则 以及BS（journal of finance 1993)方法 判断高频交易方向和多空主力建仓减仓行为 (who is making the market？ find out the direction of trading force by analysis ultri high frequency (ticks) )
▍18. ngabor
gabor变换 用于时频分析 可以得到时频分析谱(gabor transform for time-frequency analysis can be time-frequency analysis spectral)
▍19. multi-agentPricing
this code implements multi agent pricing between two Q-Learner agents
▍20. WMBAT
用于质谱的baysian分析，主要用于有关生物内容的分类学，里面包含根据情况自动判断的是否致病的程序。(Starting with a group of training data and a given classification (like "disease" or "non-"disease") this function builds a three level Bayesian Network from mass spectrometry data. The function was designed primarily for use in finding proteins that are diagnostic of a disease group using a biologic sample. )
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