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addramdonnoise
- 目标图像=图像加随机噪声(源图像,噪声比率);1>噪声比率>0-purposeimage=addrandomnoise(sourceimage,noiserate) 1>noiserate>0
NoiseGenerator
- 本实验要求根据课本中给出的高斯噪声和椒盐噪声的概率分布的形状和参数编写两个通用程序分别给一个图像中添加高斯噪声和椒盐噪声。高斯噪声是n维分布都服从高斯分布的噪声,椒盐噪声是图像中经常见到的一种噪声是一种随机的黑点或者白点。在实验中通过它们对应的概率密度函数得到噪声分布函数进而与原图像进行叠加产生出对应的噪声图像-Textbooks in this experiment are given under the Gaussian noise and salt and pepper noise in
bianshi2
- 一个复杂系统神经网络辨识,采用改进BP算法对随机噪声的二阶系统进行模型辨识,效果挺好的.-A complex neural network system identification, using BP algorithm to improve the random noise of the second-order system identification model, the effect of the good.
Wiener
- 利用平稳随机过程的相关特性和频谱特性对混有噪声的信号进行滤波的方法-Wiener filtering
ada
- 产生随机噪声和椒盐噪声,使用中值滤波法,领域平均法去除噪声,-Randomly generated noise and salt and pepper noise, the use of median filtering method, the area of the averaging method to remove noise,
spectral_estimation
- 平稳随机信号谱估计 使用两种谱估计方法将信号和噪声分离:周期图法谱估计和Levinson-Durbin递推法谱估计。其中每种方法又细分为自编程序和使用matlab自带函数两种。- Random signal model is estimated using two methods of spectrum signal and noise separation: periodogram spectral estimation method and Levinson-Durbin r
image5
- 针对图像的噪声,进行平滑去噪,中值滤波,邻域平均法,还有产生椒盐噪声和随机噪声。取自《vc++图像处理程序设计》第5章-Against the image noise, denoising smoothing, median filtering, neighborhood averaging method, as well as generate Salt and pepper noise and random noise. Retrieved from " vc++ image pro
chi
- 图像几何变换,图像正交变换,图像灰度变换,图像增强:包括随机噪声、傅立叶变换、中值滤波、高斯滤波; ·色彩变换:包括彩色->灰度、反色处理、亮度调整、直方图均衡化。专业人士编写-Image geometric transformation, image orthogonal transform, the image gray-scale transformation, image enhancement: including random noise, Fourier transform,
ann
- 具有随机噪声的二阶系统的神经网络识别及其matlab实现-Artificial neural network
WHITE
- 产生高斯白噪声,用于系统辨识和参数估计,产生随机信号-Generated Gaussian white noise
8psk
- 1、 产生等概率且相互独立的二进制序列,画出波形; 2、产生均值为0,方差为1的加性高斯随机噪声; 3、进行8PSK调制,画出波形; 4、进行蒙特卡罗分析; 5、解调8PSK,画出眼图。-1、Produce equal probability and independent of each other binary sequence, draw waveform 2、Generate mean 0, variance 1 of the additive Gaussian ra
restoration
- (1) 先由原始图像(任选)产生待恢复的图像;(产生方法如下:冲激函数为 ,将原始图像与冲激函数卷积产生模糊,然后再迭加均值为0,方差为8,16,32的高斯随机噪声而得到一组待恢复的图像。分别用逆滤波和维纳滤波恢复模糊后的图像。-(1) The first be the original image (optional) produces the image to be restored (generated as follows: impulse function, the original
SoftwareDesignOfDigitalSignalProcessing
- 数字信号处理软件设计,能够产生常见的数字信号如:正弦波 三角波 随机信号 以及高斯噪声,并对其进行频谱分析 同时也包括FIR IIR滤波器设计,并对产生的数字信号进行滤波-software design of digital signal processing that can generate many signals ,analysize their frequency Spectrum and design filter(FIR、IIR)to filter.
CH2CH5CH7
- 随机序列产生程序、白噪声产生程序、M序列产生程序、Bayes辨识算法程序-system identification
DIPDemo
- 包括图像输入(打开文件、采集、捕捉图像、从剪贴板粘贴、打开扫描软件、灰度化、添加随机噪声、椒盐噪声、去噪声)、图像处理(几何变换、灰度反转、直方图均衡化、直方图统计、图像复原、边缘提取、伪彩色、二值化、图像变换)、图像输出(另存图像、打印输出、复制到剪贴板)-Including image input (open the file, capture, capture images, paste from the clipboard, open the scanning software, gra
sheji
- 4PSK通信系统的蒙特卡洛仿真 要求: (1) 分别画出4PSK信号的4个调相波形; (2) 设信道为加性高斯随机噪声信道(均值为0,方差为1),画出在不同的信噪比下发送1000个符号的蒙特卡洛仿真结果。(画图时可将信噪比作为横坐标,误码率作为纵坐标,其中误码率需画出实际误码率(实际误比特率)和理论误码率(理论误比特率)。) 说明:采用matlab或其它软件工具编程实现。 -matlab
IIR
- 用双线性Z变换法设计IIR巴特沃思型数字低通滤波器,能够实现心电信号中随机噪声的去除。-Bilinear Z transform with the design of IIR Butterworth digital low-pass filter, ECG can be achieved in the removal of random noise.
noisefiltered
- 产生随机噪声加人信号,并对产生的噪声进行滤波和酒信号进行FFT-Generate random noise added to the signal, and noise generated by the signal filtering and FFT wine
SR
- 通过双阈值系统中的随机共振特性,研究含有高斯白噪声的信号。-is investigated the characteristics of stochastic resonance of the signal added Gaussian white noise in a bithreshold system
imageprocess
- 基于未改进中值滤波的图像随机噪声的滤除程序-Not improve the median filter based on images of random noise filtering procedure