中国科学院机构知识库网格系统: 检索

SPICE-Based SAR Tomography over Forest Areas Using a Small Number of P-Band Airborne F-SAR Images Characterized by Non-Uniformly Distributed Baselines 期刊论文 OAI收割
REMOTE SENSING, 2019, 卷号: 11, 期号: 8, 页码: 18
作者: Peng, Xing; Li, Xinwu

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收藏 | 浏览/下载：103/0 | 提交时间：2019/09/24

TomoSAR W&O-SPICE wavelet orthogonal basis vertical structure underlying topography forest height

Establishment of NmF2 empirical model in the northern hemisphere based on COSMIC occultation data 期刊论文 OAI收割
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2014, 卷号: 57, 期号: 2, 页码: 339-344
作者: Niu Jun; Fang HanXian; Weng LiBin

收藏 | 浏览/下载：34/0 | 提交时间：2014/07/14

empirical NmF2 model empirical orthogonal function decomposition local wavelet power spectrum method least squares method

Information extraction from laser speckle patterns using wavelet entropy techniques (EI CONFERENCE) 会议论文 OAI收割
MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, November 4, 2011 - November 6, 2011, Guilin, China
作者: Li X.-Z.; Wang X.-J.

收藏 | 浏览/下载：39/0 | 提交时间：2013/03/25

A novel speckle patterns processing method is presented using multi-scale wavelet techniques. Laser speckle patterns generated from the sample contained abundant information. In this paper we propose a method using wavelet entropy techniques to analyze the speckle patterns and exact the information on the sample surface. In our case we used this approach to test the solar silicon cell surface profiles based on the sym8 orthogonal wavelet family. According different wavelet entropy values the micro-structure of different solar silicon cell surfaces were comparative analyzed. Furthermore we studied the AFM and reflective spectra of the wafer. Results show that the wavelet entropy speckle processing method is effective and accurate. And the experiment proved that this method is a useful tool to investigate the surface profile quality. 2011 SPIE.

Tree Structure Matching Pursuit based on Gaussian Scale Mixtures model 会议论文 OAI收割
Applications of Digital Image Processing Xxxiv
Liu, Peng; Liu, Zhiwen; Wei, Jingbo; Liu, Dingsheng

收藏 | 浏览/下载：27/0 | 提交时间：2014/12/07

Compressed Sensing Gaussian Scale Mixtures Orthogonal Matching Pursuit SIGNAL RECONSTRUCTION INVERSE PROBLEMS WAVELET-DOMAIN IMAGE

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.

Abrupt sensor fault diagnosis based on wavelet network (EI CONFERENCE) 会议论文 OAI收割
2006 IEEE International Conference on Information Acquisition, ICIA 2006, August 20, 2006 - August 23, 2006, Weihai, Shandong, China
作者: Li W.; Li W.; Zhang H.; Zhang H.

收藏 | 浏览/下载：18/0 | 提交时间：2013/03/25

The possible faults of a sensor may be classified as abrupt (sudden) faults and incipient (slowly developing) faults. This paper focuses on the abrupt faults of a sensor. Due to the limited number of scales a single wavelet amplitude map has not enough scales to describe all details of the signal. The sampling grid in the scale direction is rather sparse Some of the fault information will be leaked under such sparse grid. To make up for the deficiency of scalar orthogonal wavelet transform in the application of abrupt fault diagnosis multiwavelet packets transform was introduced into the field of abrupt fault diagnosis. The distribution differences of the signal energy on decomposed multiwavelet scales of the signal before and after the fault occurring are extracted as the fault feature and used as the input of multi-dimensional wavelet network. A new model-free diagnostic method for isolating abrupt sensor faults is developed based on a proposed algorithm of multi-dimensional wavelet network constructing. The method has been proved to be quite effective in the detection of sensor abrupt fault. 2006 IEEE.

A wavelet network based classifier 会议论文 OAI收割
7th International Conference on Signal Processing, Beijing, China, August 31 - September 4, 2004
作者: Li DQ(李德强); Shi ZL(史泽林)

收藏 | 浏览/下载：23/0 | 提交时间：2012/06/06

wavelet network pattern classification orthogonal least squares(OLS) recursive orthogonal least squares(ROLS) iris data

Wavelet networks based on orthogonal least squares 期刊论文 OAI收割
Advances in Modelling and Analysis B, 2003, 卷号: 46, 期号: 7-8, 页码: 15-27
作者: Li DQ(李德强); Huang SB(黄莎白)

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收藏 | 浏览/下载：20/0 | 提交时间：2021/03/21

Wavelet Network Orthogonal Least Squares(OLS) Recursive Orthogonal Least Squares(ROLS) Akaike's Infonnation Criterion(AlC)

Construction of two-dimensional compactly supported orthogonal wavelets filters with linear phase 期刊论文 OAI收割
ACTA MATHEMATICA SINICA-ENGLISH SERIES, 2002, 卷号: 18, 期号: No.4, 页码: 719–726
作者:

收藏 | 浏览/下载：13/0 | 提交时间：2015/11/08

Two-dimensional, Orthogonal, Linear phase, Wavelet filters

A perfect reconstruction, size-limited filter bank for orthogonal, wavelet-based, finite-signal subband processing 期刊论文 OAI收割
DIGITAL SIGNAL PROCESSING, 2001, 卷号: 11, 期号: 4, 页码: 304-328
作者: Tang, JS; Zhang, YG

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收藏 | 浏览/下载：12/0 | 提交时间：2018/07/30

boundary processing size-limited filter bank orthogonal wavelet perfect reconstruction independence orthogonality