segmenttool

该算法主要实现自适应线谱增强算法（ALE），其原理简单，操作方便，有一定的工程应用价值。(The algorithm is mainly realize adaptive linear spectrum enhancement algorithm (ALE), its principle is simple, the operation is convenient, have certain engineering application value. )

c均值模糊聚类算法在matlab环境中的实现源码(fuzzy c-means clustering algorithm in matlab environment to achieve source)

波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

solution of numerical integration with newton method

用matlab调用HFSS代码hfssapi.rar(HFSS code using matlab call hfssapi.rar)

说明：  MATLAB程序， 半参数线性回归模型的最小二乘核估计 半参数线性回归模型的最小二乘正交序列估计。(MATLAB program, semi-parametric linear regression model of least squares kernel estimation Semiparametric least squares linear regression model orthogonal sequence estimation.)

说明：  利用MATLAB求解偏微分方程的有限差分法算例，可自行编写方程求解，只需更换方程即可。(Finite difference method for solving one-dimensional parabolic equation)

phantom_denoising去噪，包含了CS+UWT去噪和CS+NSCT去噪(phantom_denoising denoising, including the CS+ UWT denoising Denoising and CS+ NSCT)

用Matlab仿真四元LDPC码并得出误码率曲线图。(Simulation quad LDPC codes in Matlab and draw BER curve.)

双目视觉，求双目视觉图像视差图，直接运行demo即可(Binocular vision, seeking binocular disparity map visual images, demo can be run directly)