中国科学院机构知识库网格系统: 检索

基于广义S变换的不同类型泥石流声波试验研究 期刊论文 OAI收割
岩土工程学报, 2020, 卷号: 42, 期号: 10, 页码: 1962-1968
作者: 胡至华; 胡雨豪; 马东涛; 袁路; 李梅

|

收藏 | 浏览/下载：28/0 | 提交时间：2021/01/13

debris flow type acoustic wave generalized S transform wavelet packet transformation frequency band energy 泥石流类型声波信号广义S变换小波包变换频带能量

A wavelet transformation approach for multi-source gravity fusion: Applications and uncertainty tests 期刊论文 OAI收割
JOURNAL OF APPLIED GEOPHYSICS, 2016, 卷号: 128, 页码: 18-30
作者: Bai, Yongliang; Dong, Dongdong; Wu, Shiguo; Liu, Zhan; Zhang, Guangxu

收藏 | 浏览/下载：19/0 | 提交时间：2016/09/21

Multi-source gravity fusion Wavelet transformation South China Sea Wavelet type Decomposition level Uncertainty tests

A wavelet transformation approach for multi-source gravity fusion: Applications and uncertainty tests 期刊论文 OAI收割
JOURNAL OF APPLIED GEOPHYSICS, 2016, 卷号: 128, 页码: 18-30
作者: Bai, Yongliang; Dong, Dongdong; Wu, Shiguo; Liu, Zhan; Zhang, Guangxu

|

收藏 | 浏览/下载：16/0 | 提交时间：2016/07/11

Multi-source Gravity Fusion Wavelet Transformation South China Sea Wavelet Type Decomposition Level Uncertainty Tests

恒星光谱的自动识别与分类方法研究 学位论文 OAI收割
工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006
作者:

收藏 | 浏览/下载：95/0 | 提交时间：2015/09/02

天体光谱自动分类红移测量小波变换离散傅里叶变换卷积型小波包变换多尺度特征匹配 Celestial object spectra automated classification redshifts measurement wavelet transform discrete fourier transform convolution type of wavelet packet transform multi-scaling feature matching

A method tor auto-extraction of spectral lines based on convolution type of wavelet packet transformation 期刊论文 OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 卷号: 26, 期号: 2, 页码: 372-376
作者: Liu, ZT; Wu, FC; Luo, AL; Zhao, YH

收藏 | 浏览/下载：22/0 | 提交时间：2015/11/07

convolution type of wavelet packet local correlation algorithm astronomical spectra spectral line extraction

A method tor auto-extraction of spectral lines based on convolution type of wavelet packet transformation 期刊论文 OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2006, 卷号: 26, 期号: 2, 页码: 372-376
作者: Liu, ZT; Wu, FC; Luo, AL; Zhao, YH

收藏 | 浏览/下载：20/0 | 提交时间：2017/03/14

convolution type of wavelet packet local correlation algorithm astronomical spectra spectral line extraction

A new approach for the removal of mixed noise based on wavelet transform (EI CONFERENCE) 会议论文 OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者: Li Y.; Li Y.; Li Y.; Li Y.

收藏 | 浏览/下载：38/0 | 提交时间：2013/03/25

This paper proposed a new approach for the removal of mixed noise. There are many different ways in image denoising. Donoho et al have proposed a method for image de-noising by thresholding ambiguity is often resulted in determining the correspondence of a modulus maximum to a singularity. In the light and indeed we combine the merits of the two techniques to form a new approach for the removal of mixed noise. At first the application of their method to image denoising has been extremely successful. But the method of Donoho is based on the assumption that the type of noise is only additive Gaussian noise we used wavelet singularity detection (WSD) technique to analyze singularities of signal and noise. According to the characteristic that wavelet transform modulus maxima of impulse noise rapidly decreases as the scale increases in wavelet domain which is not successful for impulse noise. Mallat has also presented a method for signal denoising by discriminating the noise and the signal singularities through an analysis of their wavelet transform modulus maxima (WTMM). Nevertheless it can be accurately located with multiscale space by going through dyadic orthogonal wavelet transform and removed. Furthermore the Gaussian noise is also removed through a level-dependent thresholding algorithm the tracing of WTMM is not just tedious procedure computationally algorithm. The experimental results demonstrate that the proposed method can effectively detect impulse noise and remove almost all of the noise while preserve image details very well.

Wavelet-fractal based compression of ophthalmic image (EI CONFERENCE) 会议论文 OAI收割
ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China
Xiu-Ying Z.; Lin-Pei Z.

收藏 | 浏览/下载：24/0 | 提交时间：2013/03/25

This study is designed to determine the degree and methods of digital image compression to produce ophthalmic images of sufficient quality for transmission and diagnosis. Fractal based compression techniques which provide a large compression ratio for grayscale images have been reported in the literature. Fractal coding is based on the fractal theory of iterated transformations. But it's searching and mapping algorithm cannot address the need of real-time. To improve the real-time performance of the algorithm we use wavelet transforms to decompose images. The wavelet transform is a natural tool for analyzing fractal block coders since wavelet bases possess the same type of dyadic self-similarity that fractal coders seek to exploit. We propose a method of fractal coding the weighted wavelet subtree. Experimented results show that the improved hybrid image can improve the PSNR of the rebuild image at the same compression ratio.

Detection and tracking of low contrast targets based on integertype lifting wavelet transform (EI CONFERENCE) 会议论文 OAI收割
ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China
作者: Wang L.; Wang L.; Wang Y.; Wang Y.; Wang Y.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

This paper presents a method for detecting and tracking of low contrast targets. The new method uses an integer-type lifting wavelet transform and the proposed method doesn't extract patterns similar to a template but finds parts having the same feature in the targets. We utilize one of integer-type lifting wavelet transforms that contains rounding-off arithmetic for mapping integers to integers. The lifting term contains parameters that are learned by using standard training images of targets. We assume that the targets include many high frequency components. In order to obtain the features of the targets the lifting parameters are determined by a condition that high frequency components are vanished in wavelet transform. But the condition cannot be determined by the parameters wholly. So we put an additional condition of minimizing the squared sum of the lifting parameters. The advantage of using integer-type wavelet transform is simple and robust to noise. Simulation illustrated the approach can detect and track the moving targets in dim background. We would test our algorithm in the TV tracking system.

Electrochemical noise analysis of LY12-T3 in EXCO solution by discrete wavelet transform technique 期刊论文 OAI收割
Electrochimica Acta, 2006, 卷号: 51, 期号: 7, 页码: 1359-1364
F. H. Cao; Z. Zhang; J. X. Su; Y. Y. Shi; J. Q. Zhang

收藏 | 浏览/下载：17/0 | 提交时间：2012/04/13

electrochemical noise wavelet transform localized corrosion type impedance spectroscopy exfoliation corrosion aluminum alloys