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自适应滤波算法（最小均方误差算法）matlab源码程序。(Adaptive filtering algorithm matlab source program。)

空间前方交会，对于2张影像，已知其外方位或相对方位，求地面坐标或模型坐标(Space forward intersection, and 2 images, known its exterior orientation or relative orientation, for the ground coordinates or model coordinates )

mit（csail）上的matlab程序，里面的c++程序需要mex编译，算法可参考下面这篇论文(SIFT flow: dense correspondence across difference scenes ECCV2008)

包含小波变换，curvelet变换的自适应阈值去噪，微分方程去噪等，近几年的关于去噪方面的文献，中英文都有，供大家参考(Include wavelet transform, curvelet transform adaptive threshold denoising, denoising differential equations, in recent years the literature on denoising, both Chinese and English, for your reference)

关于算法设计最经典的教材，非常值得阅读，对一些较经典的算法都进行了详细的介绍(On the algorithm design and classic materials, well worth reading, for some of the more classical algorithms have carried out a detailed introduction)

Abstract：Noise frequency modulation(FM)jamming。which belongs to blanket jamming。is already become the main form ofnoise jamming at present。because the wideband was gained by it．Tne spectnlnl ofnoise FM jamming is analyzed by time domain autocorrelation method in this paper．It’S jamm g peculiarity and几out— putting signal’S jamming peculiarity ale explained．At last，these time series models ofnoise FM jalllIIling sig— nal and几outputting signal ale built．(Abstract: Noise frequency modulation (FM) jamming. which belongs to blanket jamming. is already becomethe main form ofnoise jamming at present. because the wideband was gained by it. Tne spectnlnl ofnoise FMjamming is analyzed by time domain autocorrelation method in this paper. It S jamm g peculiarity and several out-putting signal S jamming peculiarity ale explained. At last, these time series models ofnoise FM jalllIIling sig-nal and a few outputting signal ale built.)

本文通过事例用matlab编程曲线拟合，包含编程源代码，以及具体的案例和结果(In this paper, by the example of programming with MATLAB curve fitting, including programming source code, as well as the concrete case and the results)

用于高斯过程一维建模，能根据不同的协方差函数得到不同的高斯过程回归模型(For the one-dimensional modeling of the Gaussian process, different Gaussian process regression models can be obtained according to different covariance functions)

gui界面，读取xlsx中特定sheet，sheet中最后一列为y，前n列为x1-xn，线性拟合为y=b0+b1x1+...+bnxn，显示公式和残差的标准差(The GUI interface reads the specific sheet in xlsx, the last row in sheet is y, the former n is x1-xn, and the linear fitting is y=b0+b1x1+ (+bnxn), showing the standard deviation of formula and residuals.)

Butterworth Bandpass Filter