Solution-of-the-orbit-equation

精通matlab，教你如何使用matlab。(Proficient in matlab, teach you how to use matlab.)

FDTD 的吸收边界条件讲解，详细讲解了边界条件的推导过程。(Absorbing boundary conditions for numerical simulation of waves.)

source code for SVC(Support Vector Clustering) plot,支持向量聚类画图工具，作者daewonlee(source code for SVC(Support Vector Clustering) plot,by daewonlee)

Generate base surface S0(u,v) for the surface B-Spline best fitting algorithm.

功率谱估计是利用有限长的数据估计信号的功率谱，广泛应用于各个领域。功率谱估计主要分为经典谱估计与现代谱估计。常用的经典谱估计方法有周期图法，相关法，周期图的改进法，常用的现代谱估计方法有最大熵谱估计，AR模型，MA模型，ARMA模型。经典谱估计适用于长序列的信号，其主要缺陷是描述功率谱波动的数字特征方差性能差，频率分辨率低，现代谱估计适用于短序列的信号，旨在改善谱估计的分辨率，并将其应用于实际地震资料的谱分析。 (Power spectrum estimation is the use of a finite length data to estimate the power spectrum of the signal, widely used in various fields. Power spectrum estimation is divided into classic and modern spectral estimation spectral estimation. Commonly used methods of classical periodogram spectrum estimation method, the relevant law, the cycle graph Improvement Act, commonly used in modern spectral estimation methods have maximum entropy spectral estimation, AR model, MA model, ARMA model. Classical spectral estimation applied to signal a long sequence, its main drawback is the fluctuation power spectrum describing digital signature variance performance is poor, the frequency resolution is low, modern spectral estimation applied to signal short sequences designed to improve spectral estimation resolution, and The analysis applied to real seismic data spectrum.)

将matlab的m文件生成可供labview调用的dll(The matlab m file is generated for LabVIEW call DLL)

说明：  三个复正弦信号的信噪比分别为SNR1 =30dB， SNR2 =30dB和SNR3 = 27dB。假设信号样本数为1000，FIR 滤波器的抽头个数为4。基于奇异值分解的MVDR 方法进行信号频率估计的仿真实验，获得功率谱密度函数的估计。(A power spectrum estimation algorithm named mvdr is introduced in this program)

无网格法在固体力学中的应用书籍，内含源代码程序。(Meshless method applied in solid mechanics books, containing the source code program.)

说明：  运用遗传算法的思想，通过MATLAB及遗传算法工具箱，实现了函数最值的运算求解！(The idea of the use of genetic algorithms, and genetic algorithm through MATLAB toolbox to achieve the most value of the function of computing to solve!)

相位解缠是INSAR数据处理的重要步骤，本文用基于FFT的最小二乘法实现实现相位解缠(Phase unwrapping)