gauss

基于Python编写的用于曲线拟合，最小二乘法(Based on Python for curve fitting, least squares method.)

说明：  短时傅里叶变换及短时傅里叶反变换的实现，简单可用(The realization of short-time Fourier transform and short-time Fourier inverse transform is simple and available)

地统计学中的克里格插值法，Matlab编写，内有详细的说明。(failed to translate)

使用五点差分格式计算一个微分方程在边值问题上的解(The use of a five-point difference scheme for the calculation of a differential equation in the solution of boundary value problems)

有限元计算软件Nastran 运算出错时的所有错误列表，从标号1到22107.7。(FEM calculation error list of all software Nastran Error from grade 1 to 22,107.7.)

说明：  卡尔曼初始对准主程序，说明了卡尔曼滤波在初始对准里的应用(Main program of Kalman initial alignment)

完成前台阶问题的计算，利用的AUSMPW格式，算法结构较为简单，所以文字说明较少(Completed on the front steps of the calculation, use of AUSMPW format, the algorithm structure is relatively simple, so less text)

内含心电信号数据及运用MATLAB写的源代码，有井曲线作为输入可计算其地震波的衰减,Pisarenko谐波分解算法。( ECG data and includes source code written in MATLAB, There is a well attenuation curve as input to calculate its seismic waves, Pisarenko harmonic decomposition algorithm.)

小波包分析提取振动信号中的特征频率，微分方程组数值解方法，有循环检测，周期性检测。( Wavelet packet analysis to extract vibration signal characteristic frequency, Numerical solution of differential equations method, There are cycle detection, periodic testing.)

现有的贪婪迭代类压缩感知重构算法均基于最小二乘对信号进行波形估计，未考虑到可能将量测噪声引入信号估计的情况．针对以上不足，提出了一种基于线性Kalman滤波的压缩感知弱匹配去噪重构算法(Existing greedy iterative reconstruction algorithms class compressed sensing the signal waveform based on least squares estimation does not take into account the possible introduction of the measurement noise signal estimation situation. For the above shortcomings, we propose a linear Kalman filter based on compressed sensing reconstruction algorithm denoising weak match)