搜索资源列表
Denoise
- 小波去噪算法程序代码好用的啊啊降噪弱信号提取-Wavelet denoising code easy to use ah extraction of weak signal noise reduction
curvelet-denoisy
- curvelet denoise matlab code
denoiseclassic
- 经典的小波算法例子代码，主要是两种去噪算法的代码-two classic denoise wavelet
kalman_intro
- 一个简单的Kalman仿真代码,通过该程序对一个正弦波信号进行去噪-a simple code of Kalman fiter，which denoise a sin signal distorted by noise
t_denoising
- 此程序的功能为对采集到的信号进行小波阈值去噪，阈值为改进阈值。-the program is used for wavelet denoise
t_s_de
- 此程序的功能为对采集的信号进行小波默认阈值去噪，并对去噪后的信号进行功率谱分析。-the program is used for wavelet denoise and spectrum analysi
denoiseImageDCT
- 对图像采用DCT变换后，进行图像去噪的算法-Image denoise by DCT
RicianDenoising_ver1
- rician denoise image.rar
denoise
- RKTfilter noise filter
DeNoise_src
- 基于小波变换的图像降噪算法，c源码，内带测试序列-Photo Denoise
202
- wavelet image denoise
MATLAB
- 阈值法小波去噪，只是一部分程序，还没有加上直达波去除（二维有向小波变换）其他程序另外一次上传。-wavelet denoise（threshold gate)
waveletdenoise
- 直达波滤除的方法，采用二维有向小波变换去除theta=0处的直达波能量-wavelet denoise（threshold gate)
image_noise
- 去除图像高斯噪声的VC C++程序，可直接运行-denoise the image of gause noise
matlab-denoise
- 应用matlab 对图像进行小波去噪 应用阈值法进行-Application of matlab wavelet image denoising threshold value method for application
xbjz
- 该m文件可以实现Matlab小波降噪.在小波变换之前还做了一个消除直流偏置。-This file of .m can proceed the dispose of Wavelet Denoise.Before it,the program eliminate the DC OFF SET.
demo
- KSVD图像去噪,组稀疏编码，新的去噪思路-KSVD image denoise，group spare coding
speckle-denoise
- 医学超声图像滤波必看：针对斑点噪声的几种滤波算法的经典论文。包括Lee的滤波算法，Frost的滤波算法，Kuan的滤波算法，MAP（Maxima a priority）的滤波算法。-Medical ultrasound image filtering must-see: a classic paper several filtering algorithm for speckle noise. Including the filtering algorithm of Lee and Frost
Undecimated-DWT
- 对Lena图先进行jpeg压缩，再对压缩后的图像分别进行小波软阈值去噪和非抽样硬阈值去噪，比较两种去噪方案，非抽样硬阈值有更好的效果。这是根据一篇外文文献来进行编程的，最后有图像对比结果。-According to the paper of OPTIMAL WAVELET THRESHOLDING FOR VARIOUS CODING SCHEMES ,I firstly compresse the Lena picture using the jpeg method ,then respect
edge-denoise
- 视频降噪处理，边缘处理，中值滤波，结果可以在生成的excel文件中得到信噪比-Video noise reduction processing, edge processing, median filtering, results can be generated in the excel file get signal-to-noise ratio