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Description: S变换是小波变换的一种扩展，有非常大的价值-S transform is an extension of wavelet transform, has a very large value
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Author: fdsafdsf |
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Description: 细化参数的对数极坐标变换图像纹理特征提取算法提出一种细化参数的对数极坐标变换图像纹理特征提取算法,可以有效地消除旋转、缩放和平移等几何形
变的影响.在特征提取过程中,通过自相关图像消除平移的影响,引入细化参数的对数极坐标变换消除旋转和伸缩
的影响.在图像检索过程中,将不完全树型小波变换所得的特征矢量,通过欧式距离来度量图像之间的相似度.实
验表明,本算法对发生几何形变的纹理图像检索平均正确率达81.05 左右,较之传统算法能取得更好的检索
效果.-This paper p ropo sed a new type of feat ure ext raction arit hmetic for text ure image,based on paramet rical
log2polar t ranslation.This arit hmetic is robust to geo met ric distortions.During t he feat ure ext raction,t he
autocorrelatio n image was int roduced to eliminate t he effect of t ranslatio n,while t he imp roved log2polar was used to
eliminate t he effect s of rotation and scaling.In t he ret rieval p rocess,a set of inco mplete t ree st ruct ured wavelet
t ransform of t he log2polar t ransformed autocorrelation image was used to measure similarity of text ure images.The
experiment result s showed t hat t he average ret rieval rates of t his arit hmetic is abo ut 81.05 ,which is robust to t he
geomet ric disto rtio ns as compared wit h t he typical algorit hms.
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Author: swx |
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Description: S-transformer,S 变换是由连续小波变换(CWT)和短时傅里叶变换(STFT)结合发展起来的另一种时频分析方法-S-transformer, S transform is a continuous wavelet transform (CWT) and the short-time Fourier transform (STFT) together with the development of an alternative method of time-frequency analysis
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Author: 陈达壮 |
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Description: S变换的MATLAB程序，可用于地震勘探去噪中，性能优于小波变换-S transform MATLAB program can be used for seismic exploration in the de-noising performance is better than wavelet transform
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Author: fengshuanyuxue |
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Description: 多尺度变换域隐马尔可夫模型能够有效地描述变换域系数在尺度间、尺度内和方向间的统计相关性,是
一种新的统计图像感知与识别方法. 文中以变换域系数的统计相关性描述为中心,以模型的设计和应用的开展为
两翼,深入分析了子波变换的三级统计特性与机理,比较研究了多尺度变换域的十种统计模型,并系统评述了这些
模型在图像感知、处理和分析中的最新进展. 同时,具体论述了这一领域研究中两类成功的实例:图像去噪和图像
纹理分割. 对于前者,以Lena 图像为测试用例分析比较了以变换域统计模型为核心的8 种算法的去噪性能 对于
后者,按照分割类型(监督式或非监督式) 和应用的图像类型系统比较了以统计模型为基础建立的15 种图像分割
方法. 最后,从面向应用的模型构造和算法设计、变换域的拓展和应用层次的推广三个层面指出了目前存在的问题
和不足,探讨了进一步的研究重点- Multiscale t ransform2domain hidden Markov model s ( HMM’s) , a class of new statisti2
cal approaches to image perception and recognition , can effectively characterize the inter scale , in2
t rascale and cross2orientation correlations of t he coefficient s in different multiscale t ransform do2
mains. Wit h t he statistical characterization of t he coefficient s in t ransform domains t he center and
t he design of various statistical model s and t he development of a variety of applications two
wings , t hree classes of statistical characteristics and their mechanisms of discrete wavelet t rans2
form of an image are analyzed in dept h , ten statistical model s in multiscale t ransform domains are
st udied comparatively , and t he state2of 2t he2art of multiscale t ransform2domain statistical model s
in image perception , processing and analysis is systematically reviewed. Two types of successf ul
applications in this research domain are discussed in detail , i. e. , image de
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Author: 周二牛 |
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Description: 摘要:心电图ST段对心脏疾病的诊断具有重要意义。在正确读取采集于郑州大学一附院的运动心电图数据基础上,利用小波变换更准确地确定其ST段的起始和终止位置,初步探讨了BP神经网络用于心电图ST段识别的方法,并用此方法识别出心电图ST段的三种类型—正常、水平压低和抬高。实验结果较好。
-Abstract: ECG ST segment on the diagnosis of heart disease is important. Collected in the correct reading of the first affiliated hospital of Zhengzhou University in exercise ECG data based on the use of wavelet transform to more accurately determine the ST segment of the start and end position, discussed the BP neural network for ECG ST-recognition method, and use this method to identify three types of ECG ST segment- the normal, the level of depression and elevation. Experimental results are good.
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Author: Lily |
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Description: 广义S变换程序 广义S变换具有短时傅里叶变换与小波变换的特性 其反变换与FFT紧密相连-Generalized program generalized S transform S transform with short-time Fourier transform and wavelet transform features of its inverse transform is closely linked with the FFT
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Author: baillick |
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Description: discrete wavelet and svd based watermarking with 12 type of attack included
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Author: selva |
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Description: 用MATLAB实现的S变换函数，具有FFT和小波变换的特性，是信号时频分析的有力工具，希望对大家有帮助。-Using MATLAB S-transform function, with the characteristics of FFT and Wavelet Transform is a powerful tool when the signal frequency analysis, we want to help.
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Author: 赵子龙 |
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Description: There a lot of time–frequency methods used for studying the time–frequency distribution of the nonlinear and non-stationary signal, such as short time Fourier transform (STFT) (Zhang and Bao, 1998), Wavelet transform (WT) (Hu et al., 2009), S-transform (ST) (Mohammad, 2009, Strockwell, 2007, Strockwell et al., 1996 and Wang and Orchard, 2009), Wigner–Ville distribution (WVD) (Chen, 2007 and Lokenath, 2002), smoothed pseudo Wigner distribution (SPWD) (Qiao, 2010), matching pursuit (MP) (Chen et al., 2007 and Stéphane and Zhang, 1993), adaptive optimum kernel time–frequency representation (AOK) (Douglas and Richard, 1995 and Liu et al., 2008), and so on. Each method mentioned above has its own advantages and disadvantages. Hilbert–Huang transform (HHT) proposed by Huang et al., 1996, Huang et al., -There are a lot of time–frequency methods used for studying the time–frequency distribution of the nonlinear and non-stationary signal, such as short time Fourier transform (STFT) (Zhang and Bao, 1998), Wavelet transform (WT) (Hu et al., 2009), S-transform (ST) (Mohammad, 2009, Strockwell, 2007, Strockwell et al., 1996 and Wang and Orchard, 2009), Wigner–Ville distribution (WVD) (Chen, 2007 and Lokenath, 2002), smoothed pseudo Wigner distribution (SPWD) (Qiao, 2010), matching pursuit (MP) (Chen et al., 2007 and Stéphane and Zhang, 1993), adaptive optimum kernel time–frequency representation (AOK) (Douglas and Richard, 1995 and Liu et al., 2008), and so on. Each method mentioned above has its own advantages and disadvantages. Hilbert–Huang transform (HHT) proposed by Huang et al., 1996, Huang et al.,
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Author: choigyuho |
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Description: STFT和ST变换的基本函数，和一个stft的一个例程-This code computes the Stockwell transform (S-Transform) of a one dimensional series without for loop, thereby making it computationally fast and simple. S-Transform was proposed in 1996. A nice tutorial on S-Transform can be found here:
djj.ee.ntu.edu.tw/S_Transform.pdf?
File Information Description
The present code is a Matlab function that provides a Short-Time Fourier Transformation (STFT) of a given signal x(n). The algorithm is similar to that of Matlab command “spectrogram”. The result is:
1) stft- a matrix with complex stft coefficients with time across columns and frequency across rows
2) f- frequency vector
3) t- time vector.
swt Discrete stationary wavelet transform 1-D.
swt performs a multilevel 1-D stationary wavelet decomposition
using either a specific orthogonal wavelet ( wname see
WFILTERS for more information) or specific orthogonal wavelet
decomposition filters.
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Author: zl |
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