Description: 小波去噪,利用小波系数在相邻尺度上的相关性关系,针对小波系数估计中硬阈值方法和软阈值方法的缺点,
通过对双重量收缩函数得到的阈值乘以一个合适系数进行修定的折衷方法,提出了一种新的小波域局部自适应去噪算法.实验结果表明,该方法既可以去除噪声,又可以较好地保留图像的高频细节特征.-Wavelet denoising using the wavelet coefficients in adjacent scales of the correlation relationship between the estimation of wavelet coefficients for the hard thresholding and soft thresholding shortcomings, through the contraction of the double weight of the threshold function has been multiplied by a suitable coefficient revised compromise, proposed a new wavelet-domain partially adaptive denoising algorithm. The experimental results show that the method can remove noise, also can be used to retain the details of the characteristics of high-frequency images. Platform: |
Size: 3072 |
Author:weiwei |
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Description: 一个基于小波阈值的信号处理程序，通过自适应阈值方式抑制信号噪声-A threshold based on wavelet signal processing procedures, through the adaptive threshold signal noise suppression methods Platform: |
Size: 1139712 |
Author:snow |
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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: 基于小波变换的可变步长自适应LMS语音信号去噪程序，对实际复杂噪声具有很好的效果-Based on wavelet transform adaptive variable step size LMS Speech Signal Denoising procedures, the actual complexity of the effect of noise has a very good Platform: |
Size: 1024 |
Author:djf |
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Description: All three, Discrete Wavelet Transform (DWT) - Singular
Value Decomposition (SVD) and Adaptive Tabu Search
(ATS) have been used as mathematical tools for embedding
data into an audio signal. In this paper, we present a new
robust audio watermarking scheme based on DWT-SVD and
ATS. After applying the DWT to the cover audio signal, we
map the DWT coefficients, and apply the SVD, we search for
the optimal intensity of audio watermarking by using the
ATS. Experimental results show that the watermarking
method performs well in both security and robustness to
many digital signals processing, such as filtering,
cropping, mp3 and random noise. Platform: |
Size: 267264 |
Author:Rishi |
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Description: ：在深海采矿环境中超声波传输介质里存在着大量气泡、扰动沉积物、机械噪声等背景噪声与混响，导致有用信号与高
噪声信号迭加在一起，严重影响了测距精度。采用小波分析方法将超声回波信号进行3层小波分解，适当设置门限阈值对小波
系数进行处理，然后对信号进行重构，有效地抑制了信号中噪声对测量精度的影响。研究结果表明：小波方法有很好的降低回
波信号中噪声的效果，其测距精度高于自适应滤波去噪后的测距精度。-There are much background and mixture noise in the course of ultrasonic wave transmission under deep
sea mining environment，such as air bubbles and disturbed sediment and mechanical noise．Because of these factors，
the useful signals and the high noise signals are combined together，which seriously affects the distance measurement
precision．Ultrasonic echo signals are decomposed into three layer wavelets，and a threshold is set to process the
wavelet coeficients．Then the signals are reconstructed．Accordingly the influence of environment noise on distance
measurement precision is effectively restrained．Research resuhs indicate that wavelet transform method is very useful
for noise reduction in signals．Its precision is higher than that of the adaptive filtering method． Platform: |
Size: 294912 |
Author:王华 |
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Description: 为了弥补传统中值滤波器在进行图像降噪处理中的不足,在图像降噪技术中应用了自适应中值滤波器。文中重点介绍了自适应中值滤波器的工作原理并在Matlab平台上进行了仿真试验，与传统中值滤波器进行了比较,计算机仿真结果表明在对密度较大的椒盐噪声进行滤波时,自适应中值滤波较传统中值滤波具有较大的优越性。-To remedy disadvantage of traditional median filtering algorithms in image denoise ,adaptive median filter is introduced and applied to image denoise. Key technology in actual uses is analyzed and is implemented in Matlab platform.Compared with traditional median filter , the computer simulation results show that when used to filter image with the higher level of noise , adaptive median filter is preferable to traditional median filter. Platform: |
Size: 1159168 |
Author:王黎 |
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Description: This package contains a beta MATLAB version of the VSNR function from
the paper "VSNR: A Wavelet-Based Visual Signal-to-Noise Ratio for
Natural Images," D. M. Chandler and S. S. Hemami, published in the IEEE
Transactions on Image Processing, September 2007. Platform: |
Size: 641024 |
Author:ahmed seghir |
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Description: 自适应模糊小波变换法程序 比较难 主要是用小波变换来实现图像的去除噪声-Adaptive fuzzy wavelet transform method program more difficult to achieve the image to remove noise using wavelet transform Platform: |
Size: 3072 |
Author:王静 |
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Description: 文基于小波分析的特点，提出了一种对信号进行多重小波
变换的自适应去噪法，该方法不仅克服了小波去噪软硬阈值法的局限性，而且解决了自适应滤波中参考信号选取难的
问题，将该方法用于脉搏信号降噪，得到了满意的去噪效果。-The text features based on wavelet analysis, proposed an adaptive multi-wavelet transform for signal denoising method, this method not only overcomes the limitations of hard and soft thresholding method of wavelet de-noising, and resolve the reference signal adaptive filtering Select the difficult problem of the method is used to the noise of the pulse signal, and been satisfied with the denoising effect. Platform: |
Size: 6337536 |
Author:jw |
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Description: 基于自适应小波变换的心电信号的检测，利用小波变换的子带编码理论，通过在多个子带权值的自适应匹配，合成后拟合微弱信号.-ECG signal detection based on adaptive wavelet transform, wavelet transform sub-band coding theory, by the right values in multiple sub-band adaptive match, after fitting a weak signal in the synthesis. Platform: |
Size: 145408 |
Author:王云 |
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Description: 用matlab做的基于小波降噪和自适应滤波的程序，已经调试可以使用。-Program based on wavelet noise reduction and adaptive filtering using matlab, debugging can use. Platform: |
Size: 1024 |
Author:sunshaui |
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Description: This paper presents an adaptive information fusion method to improve the
accuracy and reliability of the altitude measurement information for small unmanned aerial
rotorcraft during the landing process. Focusing on the low measurement performance of
sensors mounted on small unmanned aerial rotorcraft, a wavelet filter is applied as a
pre-filter to attenuate the high frequency noises in the sensor output. Furthermore, to
improve altitude information, an adaptive extended Kalman filter based on a maximum a
posteriori criterion is proposed to estimate measurement noise covariance matrix in real
time. Finally, the effectiveness of the proposed method is proved by static tests, hovering
flight and autonomous landing flight tests. Platform: |
Size: 388096 |
Author:Clovis |
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Description: 基于小波变换的自适应阈值给噪声图像进行去噪处理-Adaptive threshold based on wavelet transform to image noise to deal with the noise
Platform: |
Size: 830464 |
Author:舒小米 |
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Description: 针对噪声在多小波分解后的尺度性以及图像本身的特性, 提出了一种基于遗传算法的多小波自适应去噪算
法, 该方法能通过遗传算法自适应地寻求去噪后图像的最小均方误差.实验结果表明, 该算法优于传统算法, 不仅
能有效滤除图像的噪声,而且能较好地保留图像的边缘信息, 具有更加理想的去噪效果-For noise characteristics of multi-scale wavelet decomposition of the image itself and the proposed multi-wavelet de-noising algorithm based on adaptive genetic algorithm, the method by adaptive genetic algorithm to seek the minimum mean square image de-noising Error experimental results show that the algorithm is superior to traditional methods, not only can effectively filter out the noise of the image, but also better preserve the image edge information, with more ideal denoising effect Platform: |
Size: 293888 |
Author:happy |
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Search - adaptive wavelet noise