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cbct cone beam for reconstruction methode

a program for to maximise the fonction f(x,y)=x+y with genetic algorithm

模糊数学MATLAB工具箱，数学建模工具，运用MATLAB解决数学建模之中的模糊数学分析等问题。(MATLAB fuzzy toolbox, mathematical modeling tools, the use of MATLAB to solve mathematical modeling of the fuzzy mathematical analysis and so on.)

EARLANG B MATLAB CODE IN TELECOM

By using this matcode codes a simple frequency Hopping system can be simulated. The number of frequencies to be used can be changed by changing the parameters

说明：  PCA人脸是识别在matlab的实现程序，包含数据库。(PCA face is to identify procedures in matlab implementation, including the database.)

QC-LDPC码编程，围长为8，列重为3，无4环(The program contructs column-weight three girth-eight QC-LPDC codes given row-weight and sub-matrix size. row-weights and sub-matrices sizes are variable.)

永磁直驱风机相关文献，对于初学者，你值得一看(PMSG paper)

：提出一种基于独立成分分析（ICA）和位隙动态分组技术的超高频（UHF）射频识别（RFID）多标签防碰撞算法。利用ICA 算法实现多目标的同时识别，利用动态位隙标签分组保证阅读器同时读取的标签数少于或等 于其天线数，从而使ICA 工作于非欠定状态(A novel ultra high frequency (UHF) radio frequency identification（RFID）anti-collision algorithm based on independent components analysis (ICA) and dynamic bit-slot grouping technology was proposed. The ICA algorithm was used for identifying several tags simultaneously. The dynamic bit-slot tags grouping technology was used for ensuring the number of tags read by a reader at the same time was less than or equal to its antennas’ number, and enabling the ICA wouldn’t work in an underdetermined state. Theoretical analysis and simulated experimental results show that the tags identification rate of the proposed algorithm is far more than that of traditional stochastic or deterministic TDMA RFID anti-collision algorithms.)

最小二乘法（又称最小平方法）是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。 (Least-squares method (also known as least squares) is a mathematical optimization techniques. It does this by minimizing the square error of the data and find the best match function. The least square method can easily obtain the unknown data, and makes these data and the actual data obtained between the square and the smallest error. Least-squares curve fitting method can also be used. Other optimization problems can be maximized by minimizing the energy or entropy of the least square method to express. )