fft

说明：  特征选择验证（FSV：Feature Selective Validation）方法是IEEE标准1597.1所确立的电磁仿真有效性评估体系的核心方法，该程序采用matlab实现了FSV方法的可信度分析，可用于两组数据之间的相似度分析。(FSV (feature selective validation) method is the core method of the effectiveness evaluation system of electromagnetic simulation established by IEEE standard 1597.1. The program uses MATLAB to realize the reliability analysis of FSV method, which can be used for the similarity analysis between two groups of data.)

说明：  提取信号时域特征，频域特征，以及时频域特征，小波变换(Extract signal time domain features)

说明：  虽然现在网上的FFT程序很多，但是有的结果是错误的，比如说，经过一次正反变换后，不能得到原来的数列，所以，本人测试了多个程序，提供几个能用的，给大家，希望大家支持！ (Although many online FFT program, but some results are wrong, for example, through a positive and negative change, you can not get the original series, so I tested several programs to provide a few usable for everyone I hope we can support!)

fortran90程序，运用Runge-Kutta法数值求解常微分方程的程序，非常适用，包括源代码、一个算例和输出程序(fortran90 procedures, the use of Runge-Kutta method for numerical solution of ordinary differential equations of the process, is very applicable, including source code, a numerical example and output procedures)

七段s曲线路径规划程序详解 非常适合做运动控制规划(Detailed solution of seven segment s curve path planning program)

一个柴油机模型，能计算柴油机的油耗率，扭矩(a diesel engine modle)

计算复序列的分裂基快速傅里叶变换，分裂基快速算法是将基2和基4分解组合而成。在基2M类快速算法中，分裂基算法具有最少的运算量，且仍保留结构规则、原位计算等优点。(Calculate complex sequence of split radix fast Fourier transform, fast algorithm is to split the base base 2 and base 4 decomposition combination. 2M fast algorithm in the base class, the split-based algorithm has the least amount of computation and structural rules remain in situ calculation and so on.)

汽车油耗计算（C实现）对于家用经济型小轿车来说，统计油耗是经常做的一件事。本题目要求根据汽油单价、每次加油所用钱数，以及该次加的油所跑里程数计算出该车的百公里油耗，并进行保存，根据需要给出统计数据。(Vehicle fuel consumption calculation (C implementation) for the household economy cars, the fuel consumption statistics is often one of the things. The questions asked based on gasoline price, amount of money each fuel used, and the second oil added to calculate the mileage run car 100 km fuel consumption, and save, according to the need to give statistics.)

很有用的一篇国外关于FDTD算法的学术论文，相信对初学者有很大帮助(Useful in a foreign academic papers on the FDTD method, I believe very helpful for beginners)

用切比雪夫多项式逼近已知函数 用勒让德多项式逼近已知函数 用帕德形式的有理分式逼近已知函数 用列梅兹算法确定函数的最佳一致逼近多项式 求已知函数的最佳平方逼近多项式 用傅立叶级数逼近已知的连续周期函数 离散周期数据点的傅立叶逼近 用自适应分段线性法逼近已知函数 用自适应样条逼近（第一类）已知函数 离散试验数据点的多项式曲线拟合 离散试验数据点的线性最小二乘拟合 离散试验数据点的正交多项式最小二乘拟合 (By using Chebyshev polynomial approximation of the known functionApproximation of the known functions by Legendre polynomialsApproximation by rational fraction of known function in the form of PadmaTo determine the best uniform function polynomial approximation with the Lemez algorithmThe best known polynomial square for function approximationContinuous periodic function with Fourier series approximation of the knownApproximation of discrete data points in the Fu Liye cycleApproximation of the known function with adaptive piecewise linear methodAdaptive spline approximation ( first class ) known functionPolynomial curve fitting of discrete data pointsLinear least squares fitting of discrete data pointsOrthogonal polynomial least squares fitting of discrete data points)