Description: 利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners. Platform: |
Size: 1253 |
Author:whq |
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Description: 现在小波的研究是数字信号处理最前沿的，这就是一个很经典的小波实现语音增强的源码-now wavelet of digital signal processing is the most cutting-edge, This is a classic wavelet voice enhanced source Platform: |
Size: 47104 |
Author:申勤 |
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Description: 图象对比度增强及小波系数的复原，包括完成图像对比度信息的增强及图像小波系数的复原。-Image Contrast Enhancement wavelet coefficients and the recovery, including the completion of the image brightness information and images to enhance the resilience of the wavelet coefficients. Platform: |
Size: 2048 |
Author:spacetall |
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Description: 学习二进小波变换用于图像增强，很好的例子，可以实现非线性增强。希望对大家有帮助。-study wavelet transform for image enhancement, good example, can achieve a nonlinear increase. We want to help. Platform: |
Size: 3072 |
Author:王成优 |
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Description: 该程序使用小波变换技术出色地完成如图像对比度增强和图像融合等其他方法处理效果不佳的处理技术。-procedures for the use of the wavelet transform technique brilliantly accomplished if the image contrast enhancement and image fusion and other approaches effects of poor treatment technology. Platform: |
Size: 111616 |
Author: |
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Description: 利用小波分解与重构,实现图像增强和融合,可灵活选用其他小波,简单易懂,特别适合小波初学者.-using wavelet decomposition and reconstruction, image enhancement and integration, the flexibility to choose other wavelet is simple to understand and Wavelet particularly suitable for beginners. Platform: |
Size: 1024 |
Author:whq |
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Description: 源程序是关于9/7小波的提升方案的c语言的实现-Source is about the 9/7 wavelet enhancement program c language realize Platform: |
Size: 1024 |
Author:lingjinwen |
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Description: 语音增强是语音信号处理的重要分支，本程序用小波变换实现-Speech enhancement speech signal processing is an important branch, the procedures for implementation of Wavelet Transform Platform: |
Size: 1024 |
Author:bromheaven |
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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 |
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Description: 用matlab编写的基于Haar小波变换的图像增强处理，同时可实现小波正变换，小波逆变换，实现小波分解与重构源代码。-Written by matlab Haar wavelet-based image enhancement processing, and can achieve positive wavelet transform, inverse wavelet transform, wavelet decomposition and reconstruction to achieve the source code. Platform: |
Size: 28672 |
Author:asdfg |
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Search - wavelet enhancement