Description: 小波变换是一种快速发展和比较流行的信号分析方法, 其在图像处理中有非常重要的应用, 包括图像压缩, 图像去噪, 图像融合, 图像分解, 图像增强等。小波分析是傅立叶分析思想方法的发展与延拓。除了连续小波
(CWT)、离散小波(DWT), 还有小波包avelet Packet)和多维小波。本文主要介绍小波变换的发展及其在图像处理、的应用-Wavelet transform is a fast-growing and more popular method of signal analysis, image processing in a very important applications, including image compression, image denoising, image fusion, image decomposition, image enhancement and so on. Wavelet analysis is a Fourier analysis method development and extension. Apart from the continuous wavelet (CWT), discrete wavelet (DWT), there are wavelet packet (Wavelet Packet) and multi-dimensional wavelet. This paper describes the development of wavelet transform and its application in image processing Platform: |
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Author:yang |
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Description: 2-band discrete wavelet transform (DWT)
Dual-Tree Complex Wavelet Packet-The 2-band discrete wavelet transform (DWT) provides
an octave-band analysis in the frequency domain, but this
might not be ‘optimal’ for a given signal. The discrete wavelet
packet transform (DWPT) provides a dictionary of bases over
which one can search for an optimal representation (without
constraining the analysis to an octave-band one) for the signal
at hand. However, it is well known that both the DWT and the
DWPT are shift-varying. Also, when these transforms are extended
to 2-D and higher dimensions using tensor products, they
do not provide a geometrically oriented analysis. The dual-tree
complex wavelet transform (DT-CWT), introduced by Kingsbury,
is approximately shift-invariant and provides directional analysis
in 2-D and higher dimensions. In this paper, we propose a method
to implement a dual-tree complex wavelet packet transform (DTCWPT),
extending the DT-CWT as the DWPT extends the DWT.
To find the best complex wavelet packet frame for a given
signal, w Platform: |
Size: 4096 |
Author:王方 |
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Description: 本书是“MATLAB应用技术”系列丛书之一,以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分,第1部分着重介绍了小波理论基础,包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等;第2部分重点说明了小波分析工具箱的详细使用方法,包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩,以及最新的信号和图像的提升小波变换等内容;第3部分主要介绍了小波工具箱的应用基础,以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。-This book is "MATLAB application technology" Series on one of the latest MATLAB Wavelet toolbox in the Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multiresolution analysis and orthogonal wavelet transform, wavelet transform and multirate filter banks, 2-dimensional wavelet transform and image processing and the basic principles of wavelet packets, etc. Part 2 highlights the detailed use of wavelet analysis toolbox methods, including graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform of the MATLAB implementation of the MATLAB implementation of wavelet packet transform, signal and image noise reduction and compression, and the latest signal and image enhancement of wavelet transform content Part 3 introduces the wavele Platform: |
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Author:彭跃华 |
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Description: 提出了一个新的基于量化抖动和模式分组编码的盲数字图像水印算法,该算法首先在DWT(离散小波变换)的第
二层中频子带中随机选取相应位置的绝对值最大的系数作为水印的嵌入区间,对小波系数进行量化并根据分组编码原
理生成预嵌入模式,然后将一个二值水印图像嵌入到模式当中。-Proposed a new model based on quantitative jitter and packet-coded blind digital image watermarking algorithm, the algorithm first DWT (Discrete Wavelet Transform) and second layer of randomly selected sub-band IF the corresponding absolute value of the location of the largest coefficient watermark embedded interval, the wavelet coefficients to quantify and in accordance with principles of generating the pre-embedded block coding mode, and then a binary watermark image embedded in them patterns. Platform: |
Size: 402432 |
Author:刘非 |
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Description: wavelet transform include of continuos wavelet transform, discrete wavelet transform, wavelet packet, and advantages of wavelet transform Platform: |
Size: 120832 |
Author:Phan Thủ y |
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Description: 首先根据高斯白噪声频率充满整个频带的特性,通过双树复小波包变换对高斯白噪声进行分解,利用频带能量泄漏的定量分析方法,验证了双树复小波包变换具有较低的频带能量泄漏特性;其次利用双树复小波包变换逐层分解信号,对每层分解所得分量求其FFT谱的峭度,得到基于双树复小波包变换的谱峭度图,根据图中峭度最大的原则,可以自动准确的选择信号分解最佳层数和最佳分量;最后将基于双树复小波包变换的谱峭度图的故障诊断方法应用于实际工程中,对齿轮故障振动信号进行分析,选择最佳分解层数和分量后利用希尔伯特包络解调,有效准确地提取了故障特征信息,验证了方法的可行性和有效性-The parameters of a filter were determined by experience, and that has a great influence on the
results of signal processing. The discrete wavelet packet transform has a larger energy leakage of frequency band,
which obviously affected the results of the envelope demodulation. It is necessary to have a method with a lower
energy leakage of the frequency band before envelope demodulation. The dual tree complex wavelet packet
transform (DT-CWPT) was a new signal processing method that had many good qualities. Because the energy
leakage of the frequency band was smaller when the signal was decomposed by a dual tree complex wavelet
packet transform, the dual tree complex wavelet packet transform was used to extract the fault feature information
in the field of fault diagnosis. In this paper, first, according to the characteristics of Gaussian white noise, whose
frequency was full of the whole frequency band, Gaussian white noise was decomposed by a dual-tree complex
wavel Platform: |
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Author:侯蒙蒙 |
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Description: In this paper, a robust DWPT based adaptive bock algorithm with modified threshold for denoising the sounds of musical instruments is proposed. The signal is first segmented into multiple blocks depending upon the minimum mean square criteria in each block, and then thresholding methods are used for each block. All the blocks obtained after denoising the individual block are concatenated to get the final denoised signal. The discrete wavelet packet transform provides more coefficients than the conventional discrete wavelet transform (DWT), representing ad-ditional subtle detail of the signal but decision of optimal decomposition level is very important. Hence, the optimal wavelet and level of decomposition may be different for each signal. The obtained denoised signal with this algorithm is close to the original signal. -In this paper, a robust DWPT based adaptive bock algorithm with modified threshold for denoising the sounds of musical instruments is proposed. The signal is first segmented into multiple blocks depending upon the minimum mean square criteria in each block, and then thresholding methods are used for each block. All the blocks obtained after denoising the individual block are concatenated to get the final denoised signal. The discrete wavelet packet transform provides more coefficients than the conventional discrete wavelet transform (DWT), representing ad-ditional subtle detail of the signal but decision of optimal decomposition level is very important. Hence, the optimal wavelet and level of decomposition may be different for each signal. The obtained denoised signal with this algorithm is close to the original signal. Platform: |
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Author:noufan |
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Description: 语音信号在其他变换域中的分析技术和特性,语音信号的同态处理和倒谱分析,离散余弦变换,小波和小波包变换-Speech signal analysis technologies and features in other transform domain, homomorphic processing voice signals and cepstrum analysis, discrete cosine transform, wavelet and wavelet packet transform Platform: |
Size: 45056 |
Author:孙建兴 |
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Description: 本书是“MATLAB应用技术”系列丛书之一,以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分,第1部分着重介绍了小波理论基础,包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等;第2部分重点说明了小波分析工具箱的详细使用方法,包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实现、信号和图像的降噪和压缩,以及最新的信号和图像的提升小波变换等内容;第3部分主要介绍了小波工具箱的应用基础,以及小波变换在语音和生物医学信号处理中、故障诊断中、数字水印中的应用方法。-This book is one of MATLAB application technology Series on the latest MATLAB Wavelet toolbox in Wavelet Toolbox 3.0 version of the basis. The book is divided into three parts, Part 1 focuses on the theory of wavelet basis, including basic knowledge of wavelets, continuous wavelet transform, discrete wavelet transform, multi-resolution analysis and orthogonal wavelet transform, wavelet transform and multi-sampling filter banks, two dimensional wavelet transform and image processing and the basic principle of wavelet packet etc part 2 highlights in detail using wavelet analysis toolbox, including a graphical user interface, wavelet generic function, one-dimensional wavelet transform MATLAB realization of two-dimensional wavelet transform MATLAB implementation of wavelet packet transform MATLAB realize, signal and image noise reduction and compression, as well as to enhance the latest signal and image of the wavelet transform and other content part 3 introduces the application of bas Platform: |
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Author:zhoubo |
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