搜索资源列表
bpyyp
- The final weight matrix is ??the filter coefficient, Gaussian white noise generator, Based on piecewise nonlinear weight value Pso algorithm.
matlab程序
- 用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)
matlab程序
- 维纳滤波法去除加有高斯噪声、椒盐噪声、乘性噪声(Wiener filter method to remove the addition of Gaussian noise, salt and pepper noise, multiplicative noise)
均值滤波和中值滤波处理高斯噪声
- 均值滤波和中值滤波处理高斯噪声，比较差异(Mean filtering and median filter are used to deal with gaussian noise)
all_noise_average
- 分别对加入椒盐噪声和高斯噪声的图像通过均值滤波器进行滤波，输出滤波后的图像以及信噪比。(The images of adding salt and pepper noise and Gaussian noise are filtered by the mean filter respectively, and the filtered image and signal to noise ratio are output.)
all_noise_weiner
- 分别对加入椒盐噪声和高斯噪声的图像通过维纳滤波器进行滤波，输出滤波后的图像以及信噪比。(The image of adding salt and pepper noise and Gaussian noise is filtered by Wiener filter, and the filtered image and signal to noise ratio are output.)
all_noise_medium
- 分别对加入椒盐噪声和高斯噪声的图像通过中值滤波器进行滤波，输出滤波后的图像以及信噪比。(The image of adding salt and pepper noise and Gaussian noise is filtered through the median filter, and the filtered image and signal to noise ratio are output.)
nfmck
- Various resource allocation algorithm, Bottom-pass and band-pass FIR and IIR filter bottom pass and band-pass filter, Gaussian white noise generator.
Projects_DIP3E
- 主要包括DIP 3/e—Student Projects的说明文档以及实验05-04的详细代码，实验的要求为： Instruction manual: (a) Implement a blurring filter as in Eq. (5.6-11). (b) Blur image 5.26(a) in the +45o direction using T = 1, as in Fig. 5.26(b). (c) Add Gaussian noise of 0 mean and
lab3
- 下载图片然后傅立叶变换 展示频谱 计算灰度级平均值 使用高斯低通滤波器，可以指定size,m*n，高斯函数的中心位置。 用例图做高斯低通滤波。((a)Download Fig. 4.41(a) from the book web site and compute its (centered) Fourier spectrum. (b) Display the spectrum. (c) Use your result in (a) to compute the average val
DCTdenoising-master - 副本
- 主要进行图像滤波，保边滤波，快速滤波，顶顶顶顶顶(image filter he modifications below are necessary for using MATLAB Version 7.10 (steps 4, 5, 6), and for removing intensity-dependent Poisson noise (approximated as Gaussian noise))
barbosa2016
- Linear Quadratic Gaussian (LQR) controller and Kalman Filter (KF) both are robust when acting separately, but this property is lost if using them together.
最大熵滤波算法matlab仿真
- 包含基于Huber函数和最大相关熵的抗差滤波算法，以及与卡尔曼滤波算法的对比，用于GNSS导航定位粗差处理。同时主函数中包含混合高斯随机数生成方法。(The Huber function and maximum correntropy criterion based robust Kalman filter is included, which can be used for biases in measurements for GNSS positioning. The mixed Gauss
multiObjectTracking
- 该程序是用混合高斯建模+卡尔曼滤波实现，结果依赖于前景检测效果，结果效果较好，但背景干扰较多。(The program is to use mixed gaussian modeling + kalman filter implementation, the result depends on the foreground detection results, the effect is better, but more background interference.)
傅里叶谱与频域低通滤波
- 傅里叶谱与频域低通滤波 (a)从图书网站下载图4.41(a)并计算其(居中)傅里叶谱。(b)显示频谱。(c)在等式(4.8-7)中实现高斯低通滤波器。您必须能够指定结果2D函数的大小，M x N。此外，您必须能够指定高斯函数的中心位置。(d)从图书网站下载图4.41(a)，并对其进行低通滤波，以复制图4.48中的结果。(Fourier Spectrum and Lowpass Filtering in Frequency Domain (a) Download Fig. 4.41(a)
GM-PHD1
- Over-the-horizon radar (OTHR) exploits skywave propagation of high-frequency signals to detect and track targets, which are different from the conventional radar. It has received wide attention because of its wide area surveillance, long detectio