An-Improved-Algorithm-for-Otsu

加步探索法，二分法,黄金分割法,抛物线插值法求解方程的演示(Plus step-by-step exploration of law, black-and-white, golden section method, the parabolic interpolation method for solving equations of presentation)

穿墙雷达人体呼吸检测，是生命体探测的热门研究方向，本程序用matlab仿真，模拟频率步进雷达的探测方法，通过MTI滤波滤除墙体回波，通过FFT相干积累获取人体呼吸频率(Through-wall radar to detect human breath, is a living body to detect a hot research direction, the procedures used matlab simulation, simulation stepped frequency radar detection method, MTI filter to filter out the echo wall, get through FFT coherent accumulation of the human respiratory frequency)

毕业设计有用，相控阵天线的方向图（切比雪夫加权），基于matlab GUI界面设计。( Graduation useful Phased array antenna pattern (Chebyshev weights), Based on matlab GUI interface design.)

插值与拟合，牛顿插值法，直接利用拉格朗日插值多项式的病态性(Interpolation and fitting, Newton interpolation method, the direct use of Lagrange Interpolation polynomial morbid)

程序是庄茁大神经典的Johnson-Cook模型隐式算法 另外包括一个 ABAQUS-Standard用户材料子程序实例的文档说明(The program is a classic Johnson-Cook model implicit algorithm and it includes documentation of an ABAQUS-Standard user material subroutine example)

PLS计算 Cross-Validation模型计算(PLS calculated Cross-Validation model)

说明：  下三角复矩阵求逆的ASIC设计及实现 论文 pdf(Lower triangular complex matrix inverse of the ASIC Design and Implementation of)

说明：  球形粒子Mie 散射用Matlab编写的Mie theory计算程序。在光子学中运用广泛，使用非常方便(Mie scattering of spherical particles prepared by using Matlab program Mie theory. In the use of photonics in a wide range of very convenient to use)

Fortran编的关于分子动力学模拟的程序(Fortran programs compiled on the molecular dynamics simulations)

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> (This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> )