搜索结果: 1-15 共查到“wavelet”相关记录57条 . 查询时间(0.046 秒)
A Watermarking Algorithm for Vector Spatial Geo-Data Based on Integer Wavelet Transform
Digital Watermarking Vector Geo-Spatial Data Integer Wavelet Transform Robust
2015/12/11
Considering the characteristic of vector geo-spatial data for digital watermarking, this paper presents a new watermarking algorithm for vector geo-spatial data based on integer wavelet transform. By ...
An Insitu Single-pointed Wavelet-Based Method for Noise Reduction in SAR Images
Synthetic Aperture Radar (SAR) Speckle noise Insitu Single-pointed Wavelet-based (ISPW) Method,
2015/11/20
Speckle noise caused by interference of electromagnetic waves complicates Synthetic aperture radar (SAR) images to be interpreted and further practical application, therefore reducing speckle noise an...
Wavelet Speckle Reduction for SAR Imagery Based on Edge Detection
Image processing Filtering Feature detection Geography Image understanding
2015/11/20
This paper introduces a wavelet transform speckle reduction algorithm for Synthetic Aperture Radar (SAR) imagery based on edge detection. Existing speckle algorithm can efficiently reduce the speckle ...
Wavelet analysis of the LF radio signals collected by the European VLF/LF network from July 2009 to April 2011
Radio Network Wavelet precursors
2015/8/24
In 2008, a radio receiver that works in very low frequency (VLF; 20-60 kHz) and LF (150-300 kHz) bands was developed by an Italian factory. The receiver can monitor 10 frequencies distributed in these...
The Identification of Thresholds and Time Delay in Self-Exciting Threshold a Model by Wavelet
threshold autoregressive model threshold time delay wavelet
2013/5/2
In this paper we studied about the wavelet identification of the thresholds and time delay for more general case without the constraint that the time delay is smaller than the order of the model. Here...
Wavelet Deconvolution in a Periodic Setting with Long-Range Dependent Errors
Besov Spaces Deconvolution fractional Brownian motion Long-Range Dependence Maxiset theory Wavelet Analysis
2012/9/17
In this paper, a hard thresholding wavelet estimator is constructed for a deconvolution model in a periodic setting that has long-range dependent noise. The estimation paradigm is based on a maxiset m...
MAPPING MAJOR CROPPING PATTERNS IN SOUTHEAST ASIA FROM MODIS DATA USING WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORKS
MODIS data Croplands Wavelet transform Artificial neural networks (ANNs) Southeast Asia
2014/4/28
Agriculture is one of the most important sectors in the economy of Southeast Asia countries, especially Thailand and Vietnam. These two countries have been the largest rice suppliers in the world and ...
On adaptive wavelet estimation of a class of weighted densities
Weighted density density estimation plug-in approach wavelets block thresholding reliability series system parallel system.
2012/9/18
We investigate the estimation of a weighted density taking the formg=w(F)f, where fdenotes an unknown density,Fthe associated distribution function andwis a known (non-negative) weight.Such a class en...
Spatial wavelet Markov models are more efficient than covariance tapering and process convolutions
Matérn covariances Kriging Wavelets Markov random fields Covariance tapering
2011/7/5
The Mat\'ern covariance function is a popular choice for modeling dependence in spatial environmental data.
Testing for homogeneity of variance in the wavelet domain
Testing homogeneity variance wavelet domain
2011/7/5
The danger of confusing long-range dependence with non-stationarity has been pointed out by many authors.
Ignition Pattern Analysis for Automotive Engine Trouble Diagnosis using Wavelet Packet Transform and Support Vector Machines
automotive engine ignition pattern diagnosis pattern classification
2011/8/5
Engine spark ignition is an important source for diagnosis of engine faults. Based on the waveform of the ignition pattern, a mechanic can guess what may be the potential malfunctioning parts of an en...
Wavelet estimation of the long memory parameter for Hermite polynomial of Gaussian processes
Hermite polynomials of a Gaussian process long–memory parameter non–Gaussian Rosenblatt
2011/6/16
We consider stationary processes with long memory which are non–Gaussian and represented
as Hermite polynomials of a Gaussian process. We focus on the corresponding
wavelet coefficients and study th...
Application of artificial neural network and wavelet transform for vibration analysis of combined faults of unbalances and shaft bow
Rotor test rig Rotor faults vibration analysis, unbalance
2010/9/26
The vibration analysis of rotating machinery can give an indication of the condition of potential faults such as unbalance, bent shaft, shaft crack, bearing clearance, rotor rub, misalignment, loosene...
Adaptive semiparametric wavelet estimator and goodness-of-fit test for long memory linear processes
Statistics Theory (math.ST)
2010/12/17
This paper is first devoted to study an adaptive wavelet based estimator of the long memory parameter for linear processes in a general semi-parametric frame. This is an extension of Bardet {\it et al...
A novel method for lung segmentation on chest CT images: complex-valued artificial neural network with complex wavelet transform
Lung segmentation complex wavelet transform complex-valued artificial neural network
2010/10/12
Image segmentation is an important step in many computer vision algorithms. The objective of segmentation is to obtained an optimal region of convergences (ROC). Error in this stage will impact all hi...