data-fit

test1.txt 第一列为时间t，0.001s为步长；第二列为系统的输入信号；第三列为系统的输出信号。 signal_analyzer.m首先将test1.txt 的数据读入workspace，然后进行FFT，分析出两信号的频率，输出对于输入的幅值衰减（db），输出对输入的相位差。(test1.txt the first time as t, 0.001s for the step the second as the system input signal the third as the system output signal. signal_analyzer.m first test1.txt data read workspace, and then proceed to FFT, analysis of the two signals in the frequency, the output for input amplitude attenuation (db), the output of the input phase difference.)

SpaRSA算法作为解决凸优化问题的重要方法，在压缩感知等领域具有重要应用，这篇文章是SpaRSA算法的原始文章，学习这篇文章就可以进行SpaRSA算法程序的编写了。(SpaRSA algorithm to solve convex optimization problems as an important method in the field of compressed sensing and other important applications, this article is SpaRSA algorithm original articles, learning this article can be carried SpaRSA algorithm procedures for the preparation of.)

两种SQR迭代法:将x^K与上次计算的结果做加权平均作为最后结果(Two kinds SQR iterative method:the x ^ K and the results of the last calculated as a weighted average of the final results do)

电容层析成像Tikhonov算法的演示实例，带有详细的说明(An example of a demonstration of the Tikhonov algorithm for capacitance tomography, with a detailed description)

市场最优配置，通过拉格朗日算子进行计算，并派出最优方案 (Market, the optimal configuration, through the Lagrangian operator is calculated, and to send the optimal program)

支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。(Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension problem, the neural network method to overcome the slow convergence, solution instability, bad promotion of sexual shortcomings, in recent years has been widely studied, at pattern recognition, signal processing, control, communications, etc. has been widely applied.)

粉土的阻尼比拟合程序。拟合模型选择Davidenkov模型。(The silt damping match the proper procedure. The Fitting Model Davidenkov model.)

说明：  利用该方程组求解一般的线性方程组，别且符合数学求解原理(Using the equations of linear equations in general, do not and in accordance with principles of mathematics to solve)

利用这个方法计算混沌时间序列的平均轨道周期p(Use this method to calculate the average orbital period of chaotic time series p)

说明：  用于求解耦合速率方程的四阶龙格－库塔数值解法(4th order Runge-kutta methods for solving the coupled rate equations)