搜索资源列表
2dgaussian301
- 不错的2维高斯 分解历程，可对图像进行分解，供参考-Good 2-dimensional Gaussian decomposition process, image decomposition for reference
awgn511
- 关于5-11APSK在高斯信道中的误码率分析仿真程序，对具体调制方式及解码方式都有详细的过程-About 5-11APSK in Gaussian channel bit error rate analysis simulation program, has a detailed specific modulation and decoding process
LT-codes-in-guss
- 不同长度的LT码在高斯信道中的仿真，里面有编码程序，译码程序。-Different lengths of LT codes in Gaussian channel simulation, coding procedures, the decoding process.
Analog-seismic-signals
- 对二维模拟地震信号进行合成记录，加高斯白噪，并进行滤波处理-Two-dimensional simulation of seismic signals synthetic records, plus Gaussian white noise and filtering process
Guss
- fortran语言实现的，高斯滤波，很好的一个滤波程序，简单实用，-fortran language, Gaussian filter, a good filtering process, simple and practical,
Geodetic
- 本模块是关于大地坐标B，L转换为高斯坐标x,y的过程，基于visual basic 源代码。-This module is about the geodetic coordinates B, L converted to Gaussian coordinates x, y in the process, based on visual basic source code.
Various-types-of-filter
- 各类滤波器的设计程序，包括理想低通，高通滤波器，butterworth低通，高通滤波器，高斯低通，高通滤波器，梯形低通，高通滤波器，和用其他方法编写的理想低通、理想高通、Butterworth低通、同态滤波程序-Various types of filter design procedures, including the ideal low-pass, high-pass filter, butterworth low pass, high pass filter, Gaussian low
Chapter2
- 随机过程中的高斯-马尔科夫过程，以及产生的概率密度函数-The Gaussian random process- Markov process, and the resulting probability density function
5
- 了适应跟踪过程中目标光照条件的变化，并对目标特征进行在线更新，提出一种将局部二元模式(LBP) 特征与图像灰度信息相融合，同时结合增量线性判别分析对目标进行跟踪的算法．跟踪开始前，为了获得比较准确的目标描述，使用混合高斯模型和期望最大化算法对目标进行分割；跟踪过程中，通过蒙特卡罗方法对目标区域和背景区域进行采样，并更新特征空间参数．得到目标和背景的最优分类面；最后使用粒子滤波器结合最优分类面对目标状态进行预测．通过光照变化的仿真视频和自然场景视频的跟踪实验，验证了文中算法的有效性．-Trac
Lsm_match
- 最小二乘图像影像匹配方法，一个很详细的源码例程，有过程有结果，希望对初学者有帮助。高斯解方程，以及最小二乘匹配，里面都很详细。-Squares image image matching method, a very detailed source code routines, the outcome of the process, I hope to help beginners. Gaussian solution of equations, and least squares matchin
bin
- MATLAB低通滤波，高斯滤波程序，共5个，对应分析的例子-MATLAB low-pass filter, Gaussian filter process
My_DifferentGaussPyramidImage
- 基于Matlab的高斯差分金字塔图像产生程序，可直接输入一副图像，调用此函数就可以得到你所想要的所有金字塔图像。-Based on Matlab Difference of Gaussian pyramid image generation process can be directly input an image, calling this function you can get what you want all the pyramid image.
gaosixiaoqu
- 该资料是高斯消去的程序，是用C++写的程序-The data is Gaussian elimination process, is written in C++ program
NOSE
- 这个matlab程序实现的是一个噪声生成器，它可以生成高斯、椒盐、加性及乘性噪声，并把这些噪声添加到一幅图像上。-Matlab implementation of this process is a noise generator, it can generate Gaussian, salt and pepper, additive and multiplicative noise, and noise is added to put these on an image.
234
- 用c语言编写的高斯白噪声程序，可以改变噪声幅度，方便将来进行信噪比计算。里面更有更有很多高斯白噪声的头文件和库文件。-C language Gaussian white noise process, you can change the noise amplitude noise ratio calculated to facilitate future. There are also many more white Gaussian noise header files and library
GMM_EM
- 高斯混合模型的EM搭建过程以及详细说明，利于初学者的学习！-EM Gaussian mixture model building process as well as detailed instructions, which will help beginners to learn!
denoisingWavelet
- Wavelet denoising For using this code need to use signal toolbox and general toolbox in your matlab In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size 512 by 512 and then generate noi
DPMM-master
- DP Mixture Models实例程序，包含variational和Monte Carlo。-This is a matlab library for Gaussian Dirichlet Process Mixture Models (DPMMs). It includes both variational and Monte Carlo inference.
Untitled
- 设有一个随机信号 服从AR(4)过程，它是一宽带过程，参数如下： 我们通过观测方程 来测量该信号， 是方差为1的高斯白噪声，用LMS算法和RLS算法通过观测方程来估计原信号。并用Matlab对此问题进行仿真。 -There is a random signal obedience AR (4) process, which is a broadband process parameters are as follows: We are measured by observing
DPsearch
- Fast search for Dirichlet process mixture models -This code implements the search algorithms (modulo a few minor changes) described in the Fast search for DPMMs paper at AI-Stats 2007. It should work out of the box with a reasonably recent version of