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用matlab编写newmark-B法解结构振动微分方程的程序(Prepared using matlab newmark-B method for solving differential equations of structural vibration program)

几个使用的解线性方程组的程序，包括高斯消去法，高斯列主元法，高斯——赛德尔消去法。简明实用。(Gauss elimaination, Gauss_seidel ellimination)

converts binary sequence to decimal sequence

反密法在数值计算中的地位就不用我来一一列举了，此程序就可以轻易的使其实现。(anti-secret numerical calculation method in the position I would not have to list them one by one, this procedure can easily achieve it.)

说明：  matlab 传感器异步融合仿真程序，目前File Exchange中一共有超过35000个文件，这两天我对这三万多份源代码和模型进行了统计整理，将其中下载量最高的前1000个文件信息及链接，收录到了微信小程序中。(Matlab sensor asynchronous fusion simulation program At present, there are more than 35,000 files in File Exchange. In the past two days, I have compiled and compiled these more than 30,000 source codes and models, and included the information and links of the top 1,000 files with the highest download volume in the WeChat applet.)

代数涡粘模型用于计算近壁湍流的速度场，1D 4阶RK 积分(Algebraic eddy viscosity model is used to calculate the near-wall turbulence velocity field, 1D 4-order RK integration)

程序算任意点FFT和小波变换,以及可选择多种小波及小波变换后的单频带重够,另算信号的Lipschitz指数,高级数字信号处理!(counting procedures arbitrary point FFT and Wavelet Transform, and the choice of multiple wavelet and the wavelet transform of a single-band heavy enough, and another count signal Lipschitz index advanced digital signal processing!)

由美国SANDIA实验室一名研究员编写的用于计算半导体量子纳米线的一系列matlab文件。(SANDIA laboratory by the American researcher prepared a semiconductor quantum nanowire used to calculate a series of matlab file.)

最新的关于贝叶斯聚焦算法IEEE文章。该算法通过利用信号DOA概率密度函数实现加权的阵列波前差值法，能实现宽带相干信号的DOA估计，并能减小阵列聚焦误差，提高宽带阵列频域波束形成鲁棒性。(In this paper, we present and study a Bayesian focusing transformation (BFT) for coherent wideband array processing, which takes into account the uncertainty of the direction of arrivals (DOAs). The Bayesian focusing method minimizes the mean-square error of the transformation over the probability densityfunctions(pdfs)oftheDOAs,thusachievingimprovedfocusing accuracy over the entire bandwidth)

说明：  局部线性回归方法及其稳健形式已经被看作一种有效的非参数光滑方法.与流行的核回归方法相比,它有诸多优点,诸如:较高的渐近效率和较强的适应设计能力.另外,局部线性回归能适应几乎所有的回归设计情形却不需要任何边界修正。(Local linear regression methods and their solid form has been seen as an effective non-parametric smoothing method. Contrary to popular kernel regression methods, it has many advantages, such as: higher efficiency and stronger asymptotic adaptation design capacity. In addition, the local linear regression to adjust to the return of the design of almost all cases does not require any boundary amendment.)