Description: 关于小波去噪 适合初学者的一个小程序 希望对大家有帮助-on wavelet denoising for beginners of a small program you want to help! ! Platform: |
Size: 229376 |
Author:yangyang |
Hits:
Description: 自已编的图像处理，带GUI界面的彩色小波消噪程序等等，能进一步理解MATLAB在图像处理中的应用。-own series of image processing, with the color GUI interface wavelet denoising procedures, and so on. further understanding of MATLAB in image processing applications. Platform: |
Size: 132096 |
Author:董欣善 |
Hits:
Description: 用Visual C++编写的小波表换，小波除噪程序，可以显示信噪比，我的本科毕业设计，吐血推荐-prepared using Visual C table for the wavelet, wavelet denoising procedures can demonstrate SNR, I graduated from the undergraduate Design, hematemesis Suggest Platform: |
Size: 98304 |
Author:sdfdf |
Hits:
Description: 下面是基于小波图像去噪的MATLAB源程序，希望对大家有用！
-Below are images based on wavelet denoising MATLAB source, a member of the useful! Platform: |
Size: 21504 |
Author:杨明 |
Hits:
Description: 小波去噪的C++程序，可用与想了解去噪原理与小波变换实现的初学者-Wavelet Denoising C++ Procedures that can be used and would like to know the theory and wavelet transform denoising realize beginner Platform: |
Size: 71680 |
Author:ht |
Hits:
Description: 数字信号处理作业——小波变换的一个应用：
对一个图像加噪后再进行小波去噪、复小波去噪操作。-Digital signal processing operations- An application of wavelet transform: for an image noise after wavelet denoising, complex wavelet denoising operation. Platform: |
Size: 171008 |
Author:yoyo |
Hits:
Description: 本程序是利用VC开发的小波处理的程序，可以完成小波变换和小波去噪功能。-This procedure is to use VC developed wavelet treatment procedures can be completed wavelet transform and wavelet denoising function. Platform: |
Size: 637952 |
Author:齐成涛 |
Hits:
Description: 自己编写的小波去噪原程序,使用的是轶值降噪的方法，和大家一起学习一下。-I have written the original wavelet denoising procedure, using a method of noise reduction Yi value, and the community together to learn about. Platform: |
Size: 21504 |
Author:wudh |
Hits:
Description: 图像去噪：
Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically.-Image Denoising: Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically. Platform: |
Size: 3072 |
Author:asdasdasd |
Hits:
Description: noisecomp.m Code for denoising images. This code differs from standard wavelet denoising techniques in that it uses non-orthogonal wavelets, and unlike existing techniques, ensures that phase information is preserved in the image. Phase information is of crucial importance to human visual perception. Also, this code does have an effective way of determining threshold levels automatically. Platform: |
Size: 3072 |
Author:wugang |
Hits:
Description: SPEECH ENHANCEMENT BASED ON WAVELET DENOISING
Abstract: - Noise is an unwanted and inevitable interference in any form of communication. It is
non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
processing of the signal contributes to the noise addition. A signal traveling through the channel
also gathers lots of noise. It degrades the quality of the information signal. The effect of noise
could be reduced only at the cost of the bandwidth of the channel which is again undesired as
bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the
power of the noise signal or in the other way, raise the power level of the informative signal, at
the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several
ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing
Estimation method) to improving the signal to noise ratio.-SPEECH ENHANCEMENT BASED ON WAVELET DENOISING
Abstract:- Noise is an unwanted and inevitable interference in any form of communication. It is
non-informative and plays the role of sucking the intelligence of the original signal. Any kind of
processing of the signal contributes to the noise addition. A signal traveling through the channel
also gathers lots of noise. It degrades the quality of the information signal. The effect of noise
could be reduced only at the cost of the bandwidth of the channel which is again undesired as
bandwidth is a precious resource. Hence to regenerate original signal, it is tried to reduce the
power of the noise signal or in the other way, raise the power level of the informative signal, at
the receiver end this leads to improvement in the signal to noise ratio (SNR). There are several
ways in doing it and here the focus is on adaptive Signal processing new technique (Grazing
Estimation method) to improving the signal to noise ratio. Platform: |
Size: 192512 |
Author:majid |
Hits:
Description: 实现小波语音去噪，基本实现了去除噪音的功能。主要读取信号，分解，去噪，重构。-The realization of wavelet denoising voice, the basic realization of the noise removal function. Read the main signal, decomposition, denoising, reconstruction. Platform: |
Size: 13312 |
Author:王磊磊 |
Hits:
Search - wavelet denoising