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和大家分享一个全相位FFT，matlab程序，程序中全相位fft实现方法有两种，注释掉的根据原理推到得来，自己看吧。(And share a full-phase FFT, matlab program, the program fft implementation in all phase two, comment out the basis of the principle pushed to come, see for yourself.)

说明：  应用基本粒子群算法求解复杂连续函数优化问题(Application of Basic Particle Swarm Optimization to Complex Continuous Function Optimization)

利用表达式求解和栈的只是，设计一个简易的数学题库， 可供小学生作业，并能给出分数。 要求：建立试题库文件，随机产生 n 个题目；题目涉及加减乘除，带括弧的混合运算；随时可以退出；保留历史分数，能回顾历史，给出与历史分数比较后的评价。(Use solving expressions and stack just design a simple math exam, students for the job, and can give a score. Requirements: Create test file, randomly generating n topics topics involving addition, subtraction with parentheses mixing operation ready to quit keep historical scores, can look back at history, and history is given uation scores after comparison.)

用追赶法求解三对角方程组。在输入文件中读入矩阵和列向量，程序会在结果文件中返回结果。(Solving Three Diagonal Equations by Catching)

最小二乘算法，最小均方误差等算法的MSE的计算，MATLAB代码(Least-squares algorithm, such as minimum mean square error MSE calculation algorithm, MATLAB code)

将txt数据转换为LMS test.lab软件所能接受的格式(Change the txt format file to Unv file which can be read into the famous vibration test software LMS test.lab)

一维CSAMT正演程序，对学地球物理的有帮助(CSAMT)

进行干扰源以及声源定位的时延估计技术，以及定位迭代算法相关介绍(Sources of interference and delay estimation techniques for sound source localization, as well as positioning iterative algorithm)

高斯消元法、高斯列主元消元法解线性方程组。程序由本人独立完全独立完成。版权所有！(Gaussian elimination method out PCA Gaussian elimination method for solving linear equations. I am independent program consists entirely independently. All rights reserved!)

给出变量的上下边界、初值和代价函数，能够搜索代价函数最小值时的变量取值。属于带约束的优化算法，可以用来求算非线性方程组。(STRSCNE is a Matlab code for constrained nonlinear systems of equations F(x)=0 l<=x<=u where F: R^n--> R^n, l and u are vectors of dimension n. Non-existent lower and upper bounds, i.e. entries of l and u equal to minus o plus infinity, are allowed. The algorithm is a globally convergent procedure that combines Newton method and an elliptical trust-region approach. The elliptical trust-region is defined employing a scaling diagonal matrix D and the trust-region subproblem is approximately solved by the dogleg method. Only strictly feasible iterates are generated. Various input/output options are provided, and we refer to the code itself for further documentation. )