Laguerre-fitting

最小二乘法拟合形如f(x)=(a+bx)/(1+cx)的函数（9.2.2(1))，并解决人口预测问题(9.2.2(2))(Least squares fit of the form f (x) = (a+bx)/(1+cx) function (9.2.2 (1)), and to solve the population prediction problem (9.2.2 (2)))

利用emd算法解决经验模式分解的一些存在的端点效应问题。 有效的解决了问题。(Using emd algorithm to solve some of the empirical mode decomposition end effects exist. Effective solution to the problem.)

说明：  ABAQUS 的二次开发,详细注释说明，自学ABAQUS的二次开发(ABAQUS secondary development, detailed notes, self-study ABAQUS secondary development)

利用扩展卡尔曼算法( EKF)对高动态直接扩频信号的载波相位和频率进行了估计,并利用载波辅助技术测量载波相位的变化值来 校正伪码延时环,减小多普勒频移对伪码延时的影响,得到了精确的延时估计值,提 高了伪码延时锁定环的动态跟踪性能.(The PN delay loop is adjusted through measuring the varied value of carrier phase with carrier aiding technology. The effect of Doppler shift on PN code delay is reduced through carrier aid- ing technology. The precise delay estimation is obtained. The dynamic tracking performance of the PN delay loop is improved.)

在传统Otsu算法的基础上进行了一些改进，提高了算法的性能(Made some improvements on the basis of the traditional Otsu algorithm to improve the performance of the algorithm)

利用abaqus二次开发平台，利用for语言编写的混凝土弹性本构(Use abaqus secondary development platform, the use of language for concrete elastic constitutive)

一个基础贝叶斯变换的压缩感知，包含一个源代码和一个一维信号处理的例子和两个二维图像的例子(The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images.)

一个基于matalb和fortran的大地电磁2维正演模拟程序(A program in MATLAB and FORTRAN for two-dimensional magnetotelluric inversion)

说明：  数值分析中运用matlab使用LU分解法求线性方程组(Numerical analysis using matlab LU decomposition method for solving linear equations)

ADAM （Adaptive Moment Estimation）是另外一种自适应学习率算法，它结合动量梯度 下降法，在不同参数方向上采用不同学习率，保留前几次迭代的梯度，能够很好 的适应于稀疏数据。(ADAM (Adaptive Moment Estimation) is another adaptive learning rate algorithm, which combines momentum gradient. The descent method, which uses different learning rates in different parameter directions and retains the gradients of previous iterations, is very good. It is suitable for sparse data.)