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voice-signal--decomposition
- 用MATLAB对一语音信号进行小波分解，分别用强阈值，软阈值，默认阈植进行消噪处理。-A voice signal using MATLAB wavelet decomposition, were used the intensity threshold soft threshold, the default threshold for planting Denoising.
Untitled3
- 阈值去噪软硬阈值去噪程序 在图像中的应用汇-Of threshold denoising hard and soft threshold de-noising procedure in image exchange
thread
- 图像的处理，小波去噪和多分辨率分析，采用软阈值，硬阈值和混合阈值方法对彩色图像进行增强计算，效果明显。-Image processing, wavelet de-noising and multi-resolution analysis, using soft threshold and hard threshold and hybrid threshold method for color image enhancement calculations, the effect is obviou
YuZhiQuZao
- 小波三种阈值去噪的方法，硬阈值，软阈值，半软阈值去噪-Three kinds of wavelet thresholding methods, hard threshold, soft threshold, semi-soft thresholding
db4
- 1、 降噪步骤： （1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。 （2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。 （3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。 matlab里面有关于去噪的函数，你可以找一下~~ 这说的只是基本原理，希望有所帮助-1, noise reduction steps: (1) one-dimensional signal wavelet d
wavelet_denoise
- 图像去噪，内有小波自适应方法、软阈值方法和硬阈值方法-Image denoising, there are adaptive wavelet methods soft threshold and hard threshold methods
1FISTA
- 半二次优化算法，研究。软阈值公式推导。最早的一篇论文。非常有参考价值。-Half-quadratic optimization algorithms, research. Soft threshold formula derivation. The earliest paper. Very valuable reference.
113
- 介绍了小波二进制变换的基本原理 , 简述了小波变换奇异性和信号突变的关系。 基于小波变换, 给出一种结合3R 准则、 软硬阈值折衷法的奇 异信号小波检测方 法。仿真结果表明此法 既能有效地消除噪 声, 又能较好 保留奇异信号-This paper introduces the basic principle of binary wavelet transform, signal singularity and wavelet transform are briefly discussed the
yuzhi
- 波阈值去噪，比较了软阈值，硬阈值及当今各种阈值计算方法和阈值函数处理方法的性能，通过信噪比及均方差的比较，得出各种的算法的优劣-Wave threshold denoising compared soft threshold and hard threshold and the current calculation method and the various thresholds threshold function processing performance of the method
Images-denoising--based-on-wavlet
- 从原始图像产生噪声图像，使用db1执行2层小波，使用wpbmpen进行全阈值选择，采用硬阈值和软阈值处理方式,保存低频,进行图像降噪，并绘制各分解系数图像。-Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approac
wavelet
- matlab实现软硬阈值函数的图像去噪，附带一张测试图片矩阵lenna.mat-matlab image denoising hard and soft threshold function, with a test image matrix lenna.mat
DWT_new
- 小波变换，小波去噪，小波滤波新方法（软阈值）-Wavelet transform, wavelet denoising, wavelet filtering new methods (soft threshold)
a982cfb5a2d9
- 小波阈值去噪的各种方法研究，包括软硬阈值函数去噪，新的阈值函数去噪-Wavelet thresholding study various methods, including hard and soft threshold function de-noising, the new threshold function de-noising
yuzhiquzao
- 小波阈值去噪包括硬阈值、软阈值，还有一种新的阈值去噪方法-Wavelet thresholding, including hard threshold and soft threshold, there is a new thresholding method
wave-denoise
- 程序利用小波分解将声音信号分解为高频与低频部分，而后利用软阈值方法确定高频与低频各自的小波重构系数，将高频与低频部分重构还原信号达到降噪的目的。-Program using wavelet decomposition sound signal into high and low parts, then use soft threshold method to determine the high and low frequency coefficients of each wavelet rec
dual-tree
- 首先将非平稳的故障振动信号进行双树复小波包分解，得 到不同频带的分量；然后对每个分量求其峭度值和相关系数并进行比较；最后选取峭度值和相关系数较大的分量 进行软阈值降噪和双树复小波包重构，即可有效地消除振动信号中噪声的干扰，同时保留信号中的有效信息即实 现了故障特征信息的提取。-In view of the above situation, a new fault diagnosis method is proposed based on dual-tree complex wa
threholdingwaveletdenoising
- 简单的利用硬阈值函数、软阈值函数、半软阈值函数、软硬阈值折中函数、指数型阈值函数对图像进行去噪处理，并求得各自的mse和psnr-Using the hard threshold function, soft thresholding function, semi-soft threshold function, hard and soft threshold tradeoff function, exponential threshold function to denoise, and ca
caisetuxiangruanyuzhi
- 本程序是对彩色图像基于软阈值的去噪，其简单易行，很容易掌握其原理，已经经过实验验证-This program is a color image based on soft threshold de-noising, which is simple, easy to grasp its principles, has been experimentally verified
curvelet--banruanyuzhi
- 曲线波变换用于图像去噪可以很好的解决物体沿曲线边缘的特性，本算法采用半软阈值对图像进行去噪，里面包含侧视图像和峰值信噪比-Curvelet transform for image denoising can solve problems well along the curve edge features, the algorithm used for image denoising semi soft threshold, which comprises a side view image a
s_thr_denoising
- s_thr是软阈值降噪函数，可以在此基础上改进，以实现对所用环境的更好的适应。-S_thr is soft threshold noise reduction function, can be modified on the basis of this, used to achieve better adapt to the environment.