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Description: 在现在信息的安全性得到了重视，水印技术在信息隐藏中是一种新的方法。这篇文章能够帮助我们理解水印技术。-now information security has been the focus of attention, watermark technology in the Information Hiding is a new approach. This article can help us to understand watermarking technology.
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Size: 535329 |
Author: 王清华 |
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Description: 对图像进行小波变换的vc代码，帮助刚入门的同学-right image wavelet transform vc code, to help the new students portal
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Size: 4248 |
Author: 月 |
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Description: A new cable fault location method based on
wavelet reconstruction is proposed. In this method the
difference between the currents of faulty phase and sound
phase under the high voltage pulse excitation is used as the
measured signal and is decomposed in multi-scale by wavelet
transform, then reconstructed in single scale. Comparing with
traditional fault location method by travelling wave, the
presented method will not be interfered by the reflected wave
from the branch joint of cables or from other positions where
the impedances are not matched and not be influenced by fault
types, otherwise, the reflected waves can be recognized even
the faulty position is near to the measuring terminal, at the
same time, the influence of the wave speed uncertainty can be
reduced. The correctness of the proposed method is proved by
simulation results.
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Size: 76327 |
Author: 213 |
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Description: This paper describes the evolution of new wavelet and scaling numbers for optimized transforms that consistently outperform the 9/7 discrete wavelet transform (DWT) for fingerprint compression and reconstruction. The FBI fingerprint compression standard [2] is based upon the biorthogonal 9/7 wavelet filter pair developed in 1992 by Cohen, Daubechies, and Feauveau [3].
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Size: 142060 |
Author: Akses Jurnal |
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Description: 小波分析理论与Matlab 7实现 添加了2次提升的小波程序 详细介绍了7的新功能-Theoty of Wavelet And Implement of Matlab 7 appended procedures of two-lever-wavelets ,and introduced the new function of matlab 7
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Size: 67584 |
Author: 王爱丽 |
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Description: 西安交大一个博士提出的小波分析变换的新型算法，对小波有兴趣的人可以研读一下，很有启发！-A PHD of Xi an jiaotong University presents a new algorithm of wavelet transform. It a very useful for those who are interested in wavelet.
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Size: 142336 |
Author: 马占寅 |
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Description: 对图像进行小波变换的vc代码，帮助刚入门的同学-right image wavelet transform vc code, to help the new students portal
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Size: 4096 |
Author: 月 |
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Description: 小波变换除去噪声的新方法-Wavelet transform to remove noise of the new method
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Size: 2715648 |
Author: 汪刚 |
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Description: A new cable fault location method based on
wavelet reconstruction is proposed. In this method the
difference between the currents of faulty phase and sound
phase under the high voltage pulse excitation is used as the
measured signal and is decomposed in multi-scale by wavelet
transform, then reconstructed in single scale. Comparing with
traditional fault location method by travelling wave, the
presented method will not be interfered by the reflected wave
from the branch joint of cables or from other positions where
the impedances are not matched and not be influenced by fault
types, otherwise, the reflected waves can be recognized even
the faulty position is near to the measuring terminal, at the
same time, the influence of the wave speed uncertainty can be
reduced. The correctness of the proposed method is proved by
simulation results.
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Size: 75776 |
Author: 213 |
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Description: 这是matlab新版的小波分析工具箱，希望能对大家的学习带来好处！-This is a new version of wavelet analysis matlab toolbox the hope that it can bring benefits to everyone
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Size: 11103232 |
Author: www |
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Description: This paper describes the evolution of new wavelet and scaling numbers for optimized transforms that consistently outperform the 9/7 discrete wavelet transform (DWT) for fingerprint compression and reconstruction. The FBI fingerprint compression standard [2] is based upon the biorthogonal 9/7 wavelet filter pair developed in 1992 by Cohen, Daubechies, and Feauveau [3].
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Size: 142336 |
Author: Akses Jurnal |
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Description: 新的神经网络算法源程序，很适合初学者，也可以在上面进行改进！-New neural network algorithm source code, it is suitable for beginners, you can make improvements in the above!
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Size: 473088 |
Author: 李华 |
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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.
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Size: 192512 |
Author: majid |
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Description: A new approach for fingerprint verification, based on wavelets and pseudo Zernike moments (PZMs), is
discussed. PZMs are robust to noisy images, invariant to rotation and have a good image reconstruction
capability [4]. PZMs have been used for global analysis and so they are used to extract global features (the
shape of the fingerprint image). Wavelets are good at local analysis and so they help to extract local
features (minutiae) from a fingerprint. Therefore, this hybrid approach extracts most significant features
from the fingerprint images and achieve better verification rate. Different types of wavelets are used for the
study but the result shows that Symmlet orthonormal wavelet of order 8 gives best verification rate.
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Size: 386048 |
Author: samira |
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Description: A new wavelet-based fuzzy single and multi-channel image denoising
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Size: 3101696 |
Author: jamal |
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Description: 一种新的小波阈值函数，并与两种已存在的阈值函数进行去噪效果对比。该阈值函数在阈值处连续，且可避免产生恒定误差。-A new wavelet thresholding function, and with the two kinds of the existing threshold function de-noising effect of contrast. The threshold value of the threshold function is continuous, and can avoid a constant error.
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Size: 680960 |
Author: 陈晨 |
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Description: 两种新的小波基函数的构造方法，含有程序和文章，2010年后出来的 比较新-Two kinds of method to construct a new wavelet basis function, and articles containing program, after 2010 years of relatively new
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Size: 6781952 |
Author: zachary |
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Description: 该文提出了一种基于小波矩的新型图形识别算法-This paper presents a novel pattern recognition algorithm based on wavelet moment
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Size: 136192 |
Author: 董威辰 |
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Description: 脑电信号的小波软阈值处理，小波硬阈值处理和一种新的小波阈值处理。-Wavelet soft thresholding EEG, wavelet thresholding and hard A new wavelet thresholding.
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Size: 1024 |
Author: ren |
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Description: 最近的一些方法，如经验模式分解
（EMD），提出将信号分解
其包含的信息。尽管它的适应性似乎
对于许多应用程序，这种方法的主要问题
是它缺乏理论。本文提出了一种新的方法
建立自适应小波。主要的想法是提取不同
设计适当的小波滤波器组的信号模式。
这种结构导致我们到一个新的小波变换，称为
经验小波变换。许多实验
显示此方法相比经典的有用性
EMD-Some recent methods, like the Empirical Mode Decomposition
(EMD), propose to decompose a signal accordingly
to its contained information. Even though its adaptability seems
useful for many applications, the main issue with this approach
is its lack of theory. This paper presents a new approach to
build adaptive wavelets. The main idea is to extract the different
modes of a signal by designing an appropriate wavelet filter bank.
This construction leads us to a new wavelet transform, called the
empirical wavelet transform. Many experiments are presented
showing the usefulness of this method compared to the classic
EMD.
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Size: 2185216 |
Author: 雨林 |
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