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particale_filters
- 粒子滤波器是通过蒙特卡罗模拟来实现递归贝叶斯滤波，它不需要线性、高斯噪声的假设，适用于任何能用状态空间模型表示的非线性系统，比卡尔曼滤波器的适用范围广。这里给出了几个粒子滤波的matlab编程实例。-Particle filters are using Monte Carlo simulations to achieve the recursive Bayesian filtering, it does not require linear, Gaussian noise assumptions
project1
- 可添加随机噪声、高斯噪声、椒盐噪声，并比较几种去噪算法的峰值信噪比-Can add random noise, Gaussian noise, salt and pepper noise, and compare several denoising algorithm PSNR
Particle_Filter
- 粒子滤波程序，仿真实现自由度机器人对目标的跟踪，使用kalman滤波估计总雅可比矩阵J，噪声为非高斯噪声-Particle filter procedure, simulation robot tracking of targets, the use of kalman filter estimated total Jacobian matrix J, the noise of non-Gaussian noise
works
- QPSK系统在无线通信信道中的仿真,通过对有若干条（大于2条）路径的无线多径衰落信道中的QPSK系统进行误码率性能仿真，并在与理想的高斯加性白噪声信道中同样系统的BER性能进行比较，利用SA方法给出本仿真模型的仿真结果-QPSK system in the wireless communications channel simulation, through a number of articles (more than 2) the path of wireless multi-path fa
dupc
- 椒盐噪声、高斯噪声的均值滤波、中值滤波、高斯滤波-Salt and pepper noise, Gaussian noise of mean filtering, median filtering, Gaussian filtering
Gaussian
- 对已知图像加高斯噪声，然后利用一个3*3的窗口进行去噪声处理。-The known image plus Gaussian noise, and then use a 3* 3 windows to the noise processing.
gauss
- matlab环境下 对图像加高斯噪声， 可对噪声改参数-matlab environment, the image plus Gaussian noise, the noise can change parameters
New-Iterative-Method(DIY)
- 可实现，实用，迭代法（新创新），基于改进的迭代法图像分割算法（源码）， 核心思想：先添加高斯噪声，然后新迭代分割算法，最后显示自动计算的阈值。 -Can realize, practical, the iterative method (new innovation), the iterative method based on improved image segmentation algorithm (source), core ideas: first add gaussian no
bimodal-noise
- 在复杂的电子系统中，影响信号接收的很多噪声为非高斯噪声，这些噪声是没有预料到的，以致破坏了接收机的功能，研究表明：这些噪声可以看成双模噪声，双模噪声从整体上讲属于非高斯噪声。-In complex electronic systems, many of the signal received by a non-Gaussian noise, the noise is not anticipated, resulting in damage to the receiver function, re
ppm
- 一个信号加入高斯噪声后的混合输出，在进PPM调制输出调制信号-Gaussian noise is a signal to the mixed output, the output modulation signal modulated into the PPM
ciisygauss
- 简单源代码，可以产生高斯噪声，简单易懂，使用方便。-Simple source code, you can generate Gaussian noise, easy to understand, easy to use.
zaosheng
- 对图像分别加入高斯噪声和随机噪声，再分别用中值滤波和邻域平均方法进行滤波(The Gauss noise and random noise are added to the image, and the median filtering and neighborhood averaging are used to filter the image respectively)
高斯噪声去噪
- 一个小程序。向图像中添加高斯噪声，在使用离散小波原理，进行二阶去噪。(The Gauss noise is added to the image, and the two-level denoising is performed using the discrete wavelet principle.)
EPLL
- iccv回忆论文对应的源码，用于高斯噪声的去除，原文题目为From Learning Models of Natural Image Patches to Whole Image Restoration(From Learning Models of Natural Image Patches to Whole Image Restoration)
NCSR
- 中心稀疏表达去除高斯噪声，iccv会议论文源码，内含文献，原文题目Centralized Sparse Representation for Image Restoration(Centralized Sparse Representation for Image Restoration)
任务程序修改后成品
- MFC界面，可实现图像的缩放，给图像添加高斯噪声，高斯模糊，控件的滚动条事件，Dpi的调节等(MFC interface, you can achieve image scaling, add Gauss noise to the image, Gauss fuzzy, control scroll bar events, Dpi adjustment, etc.)
白噪声高斯
- 在给定高斯白噪声的均值以及均方根的情况下，生成高斯白噪声(The Gaussian white noise is generated in the case of the mean of the Gaussian white noise and the root mean square)
gaosi
- 对处理的数据进行添加高斯噪声，预处理，进行去噪实验。(The Gauss noise is added to the processed data, and the denoising experiment is carried out.)
2.9零均值高斯白噪声通过低通带通滤波器前后特性
- 用matlab仿真零均值高斯白噪声通过低通带通滤波器前后特性，程序完善，结果与理论值非常接近(The zero mean white Gauss noise is simulated by MATLAB, and the program is perfect through the low pass bandpass filter. The result is very close to the theoretical value.)
Polar RS编码 雷娜图 莱斯信道+高斯噪声
- 使用polar码进行雷娜图传输，在莱斯信道下混入高斯噪声(Use polar code to transmit Rena map in Les channel)