搜索资源列表
Part_2_C_programmes
- 程序总结2 改进欧拉法|高斯消去法|简单迭代法|列主元元素消元|龙贝格算法|龙格库塔方法|牛顿插值多项式-procedures to improve Euler France | Gaussian Elimination | simple iteration | out the main elements Consumers billion yuan | Romberg Algorithm | Runge Kutta method | Newton polynomial interpolatio
imageimpose
- 数字图像矩阵数据的显示及其傅立叶变换 二维离散余弦变换的图像压缩 采用灰度变换的方法增强图像的对比度 直方图均匀化 模拟图像受高斯白噪声和椒盐噪声的影响 采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 图像的自适应魏纳滤波 运用5种不同的梯度增强法进行图像锐化 图像的高通滤波和掩模处理 用巴特沃斯(Butterwo
ComputingMethodCourse
- 计算方法课程中,一些解方程的方法的程序,有高斯消去法、解三对角方程、迭代法、插值法、Simpson求积公式和非线性方程解法。-calculation method courses, some of the methods of solving equations procedures, Gaussian elimination, three pairs of solutions angle equation, iterative method, interpolation, Simpson qu
coordinateConvert
- 实用的大地坐标转换中间件,可以进行大地坐标与经纬度、UTM与高斯坐标系的互相转换,支持多种分带方法和换带处理。-practical geodetic coordinates middleware conversion can be carried out with the longitude and latitude coordinates of the earth, UTM coordinates with the Gaussian mutual conversion, support for
xitongbianshi
- 系统 辨识文件夹内是产生高斯白噪声,m序列和最小二乘法的一次完成算法,递推算法,限定记忆法的程序。系统仿真文件夹内是对系统线性和非线性的建模和仿真程序。-System folder on system identification is to generate Gaussian white noise, m sequence and a complete least-squares method algorithm, recursive algorithm, limited memory met
GAUSS
- Gray先生的大作,描述高斯混合矢量量化方法进行说话人识别的方法-Daisaku Mr. Gray describes the Gaussian mixture vector quantization approach to speaker recognition method
cyuyanshishangbianchengbaili
- 第二篇 文件操作 实例24 文件加密(1) 实例25 文件加密(2) 实例26 批处理程序的加密 实例27 给自己的程序加上行号 实例28 文件分割程序 实例29 删除目录树 实例30 显示系统文件表 实例31 显示一个目录的存储内容 实例32 递归读取磁盘文件 实例33 C语言直接读取FoxPro的.DBFYYWR 实例34 用索引文件读取数据项 实例35 加密数据库 第三篇 系统调用 实例36 用C语言内嵌汇编语言实现
liezhuyuan
- 计算方法高斯列主元消去法C程序 保证好用-Method of calculating Gaussian elimination pivot column C program to ensure easy to use
imagesegmentation
- 1.边缘检测,分别用Sobel, Laplacian-Gaussian 方法对一幅灰度图像进行边缘提 取,并给出对比结果; 2.灰度阈值分割:利用双峰法对一幅灰度图像进行灰度分割处理。-1. Edge detection, respectively Sobel, Laplacian-Gaussian methods on a gray-scale image edge extraction, and gives comparative results 2. Gray threshold
the-codes-of-C-about-important-algorithms
- 10个重要的算法C语言实现源代码:拉格朗日,牛顿插值,高斯,龙贝格,牛顿迭代,牛顿-科特斯,雅克比,秦九昭,幂法,高斯塞德尔-10 key algorithm C language source code: Lagrange, Newton interpolation, Gaussian, Romberg, Newton, Newton- Cortez, Jacobi, Qinjiu Zhao, power method, high Sisedeer
cholesky
- 采用乔克利特方法解方程,采用高斯消去法解方程-Qiaokelite method to solve the equation by using Gaussian elimination solution equation
gaosi
- 利用高斯消去法解线性方程组,也就是加减消元法解线性方程组-Gaussian elimination linear equations, that is, addition and subtraction method of elimination of Linear Equations
gaosi
- 本代码为高斯消元法的delphi源代码,高斯消元法是一种常见的消元方法,在现代智能系统设计中经常使用。-The code for Gaussian elimination of the delphi source code, Gaussian elimination is a common method of elimination, in the modern design of intelligent systems are often used.
GFqG_424
- 多进制LDPC码的高斯消去方法的matlab源代码-Binary LDPC codes Gaussian elimination method matlab source code
Gauss_pivot
- matlab 高斯列主元消去法求解线性方程组程序,可用于求解任何元数方程组-Matlab gaussian column primary elimination method solving system of linear equations procedures, can be used to solve any yuan number equations
LFM
- 针对贝叶斯滤波过程中存在的目标跟踪问题,提出几种典型的贝叶斯滤波方法,如EKF, UKF, PF和UPF 等,基于这些方法所构 建的框架,对它们进行性能测试和比较,并在非线性环境下,讨论这些方法的特点,仿真实验结果表明,在非线性非高斯环境下,UPF 方 法的性能是最优的。 -According to the bayesian filtering occurred in the process of target tracking problem, this paper puts forw
gaussian-siedel-Ver-3
- Gaussian siedel mathematical method,coded in c
guess
- 高斯消去法的实现,基于c语言,绝对有效,绝对正确的程序-The realization of the Gaussian elimination method
GMM_EM
- 2类分类高斯混合模型 使用k-means的方法来初始化GMM, 基于EM算法计算出GMM模型参量。 测试GMM模型分别有2个,4个,8个混合成分-2-class classifier with Gaussian Mixture Models. Use the k-means method to initialize the GMM’s Then improve the GMM models iteratively based on the EM algo-rithm.
nGpFBMP-ver-1.0
- 非高斯分布信号的快速重构算法,该代码为论文“A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse Reconstruction”论文的源代码-Fast reconstruction algorithm of non-Gaussian signal The code for the paper "A Fast Non-Gaussian Bayesian Matching Pursuit Method for Sparse
