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滤波
- matlab下的图像高斯噪声、椒盐噪声的基本滤波方法程序(Basic image filtering method program under Matlab)
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- （1）产生N个服从随机分布的随机数，重复M次运算，总计算量为M*N个点 （2）选定生成矩阵，进行信道编码 （3）进行双极性映射，根据不同信噪比加入高斯噪声（4）判决统计误码率（5）使用最小汉明距离译码并统计误码率（6）绘制星座图和误码率曲线图((1) N random number random distribution, repeated M times of operation, the total amount of computation for M*N points (2) selec
main
- 用中值滤波 、高斯滤波和均值滤波来处理图片中的椒盐和高斯噪声(Using median filter, Gauss filter and mean filter to deal with salt and pepper noise and Gauss noise in the picture)
autocode
- 在高斯噪声下，使用深度学习进行符号调制，画出星座图(Under Gauss's noise, we use deep learning to make symbol modulation and draw a constellation)
E1-空域增强
- 1-1、图象的灰度变换 对图象p1-03实施灰度平方根变换 1， 要求：显示变换前后2幅图象和2幅直方图，变换参数自行设定。 1-2、空域平滑 对图象p1-03施加高斯噪声和椒盐噪声并实施梯度倒数加权平滑法 要求：显示变换前后2幅图象，利用方差评价空域平滑的效果。 1-3、空间锐化 根据Sobel算子，按照公式4.3.8和公式4.3.9对图象p1-03实施空间锐化 要求：显示变换前后2幅图象。(1-1. Gray transformation of image The squa
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- 噪声发生器 查找（或开发）将高斯噪声添加到图像的程序。您必须能够指定噪声均值和方差。(1.Noise Generators This is a generic project, in the sense that the programs developed here are used in several of the projects that follow. See Fig. 5.2 for the shapes and parameters of the following nois
4474999
- 实现了高斯噪声下APSK的BER仿真,其中加上了saleh模型的HPA放大器()
AverageFiltering
- 用均值滤波方法实现对加入高斯噪声和椒盐噪声的图像进行去噪(The denoising of images with Gauss noise and salt and pepper noise is realized by means of mean filtering.)
compiler
- 实现了高斯噪声下APSK的BER仿真,其中加上了saleh模型的HPA放大器()
guassfilter
- 识别pcb版上的焊孔，可首先对带椒盐噪声的图片进行滤波(Identifying the welding holes on the PCB plate)
心电图滤波
- 利用低通、带阻FIR以及IIR技术对心电图上附加的白噪声、高斯噪声等进行滤波还原操作（内附心电图数值样品）。(We use low-pass, band stop FIR and IIR technology to filter and restore the additional white noise and Gauss noise on ECG.)
现代信号处理
- 产生高斯白噪声和均匀分布白噪声，并且分析了对信号的基本处理的相关函数等基本函数(Gaussian white noise and evenly distributed white noise are generated, and basic functions such as correlation functions for basic processing of signals are analyzed.)
millionimplicit
- 实现了高斯噪声下APSK的BER仿真,其中加上了saleh模型的HPA放大器()
code
- 三种图像去噪源码（matlab实现） 1.均值滤波对高斯噪声的效果 2.二维自适应维纳滤波对高斯噪声的滤除效果 3.对加入椒盐噪声的图像分别作均值、中值和维纳滤波(Three images to noise source code 1. The effect of mean filtering on gaussian noise. 2. The filtering effect of 2d adaptive wiener filtering on gaussian noise. 3.
实验三
- 均值滤波与中值滤波对添加的高斯噪声的图像去噪(Mean Filtering and Median Filtering Image Denoising)
多传感器定位算法
- 使用多种算法（DAC、Hyperbolic、DAC、SI、SX、Taylar）实现多传感器对单点定位（采用高斯噪声），其中Hyperbolic与SI为3d定位，其他的为平面定位(Using a variety of algorithms (DAC, Hyperbolic, DAC, SI, SX, Taylar) to achieve single point positioning (using Gauss noise), Hyperbolic and SI are 3D location,
assignment3
- 数字图像处理的添加高斯噪声或者椒盐噪声以及处理不同的平滑，sobel算子等(Digital image processing adds Gauss noise or salt and pepper noise, and processes different smoothing, Sobel operator and so on.)
speech_denoising
- 高斯噪声背景下的语音去噪，附加matlabUI界面(Speech denoising under Gauss noise background)
pinghua
- 利用多帧图像平均法，对受零均值随机高斯噪声干扰的图像进行平滑处理(Multi-frame image averaging method for smoothing images disturbed by zero-mean random Gaussian noise)
vb-akf-demo
- 针对线性高斯系统，采用共轭分布实现量测噪声未知情况下的状态估计和噪声方差辨识。(For linear Gaussian system, a conjugate distribution is adopted to estimate system state and identificate measurement noise variance.)