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WAVELET DECOMPOSITION OF HYPERSPECTRAL REFLECTANCE DATA FOR QUANTIFYING PHOTOSYNTHETIC PIGMENT CONCENTRATIONS IN VEGETATION
Remote Sensing Vegetation Hyper spectral Analytical Experiment
2015/7/29
The dynamics of pigment concentrations are related to vegetation photosynthetic potential and hence primary production, nutrient
status, stress physiology and plant-environment interactions. Therefo...
Texture Feature Extraction for Classification of Remote Sensing Data Using Wavelet Decomposition: A Comparative Study
Texture classification multiresolution analysis wavelets
2015/7/9
The extraction of texture features from high resolution remote sensing imagery provides a complementary source of data for those
applications in which the spectral information is not sufficient for i...
Face recognition plays an important role in biometrics base personal identification. The need for reliable recognition and identification
of interacting users is obvious. The biometrics recognition ...
Realized Wavelet Jump-GARCH model: Can wavelet decomposition of volatility improve its forecasting?
wavelet decomposition jumps volatility forecasting Realized GARCH
2012/4/28
In this paper, we propose a forecasting model for volatility based on its decomposition to several investment horizons and jumps. As a forecasting tool, we utilize Realized GARCH framework of Hansen e...
An Empirical Analysis of Dynamic Multiscale Hedging using Wavelet Decomposition
time-series dynamic minimum-variance variance reduction
2011/3/30
This paper investigates the hedging effectiveness of a dynamic moving window OLS hedging model, formed using wavelet decomposed time-series. The wavelet transform is applied to calculate the appropria...
Wavelet Decomposition for the Detection and Diagnosis of Faults in Rolling Element Bearings
Discrete Wavelets Transform Discrete Wavelet Packet Transform Ball Bearing Fault Detection
2010/1/15
Condition monitoring and fault diagnosis of equipment and processes are of great concern in industries. Early fault detection in machineries can save millions of dollars in emergency maintenance costs...
基于形态非抽样小波分解的滚动轴承故障特征提取（Fault Feature Extraction of Rolling Element Bearing Based on Morphological Undecimated Wavelet Decomposition）
滚动轴承 故障诊断 特征提取 形态非抽样小波分解
2010/2/26
针对滚动轴承故障特征信息往往被强背景噪声淹没的问题，提出采用基于多尺度差值形态滤波的形态非抽样小波分解方法提取故障特征。形态非抽样小波分解具有形态学的形态滤波特性与小波分解的多分辨率特性，通过非抽样方式对信号进行分解，克服了传统形态小波分解信息丢失的问题。结合差值形态滤波能够提取信号冲击成分的特点，构造了一种基于多尺度差值形态滤波的形态非抽样小波分解方法，并将其应用于滚动轴承故障特征的提取。仿真与...
Reference signal extraction from corrupted ECG using wavelet decomposition for MRI sequence triggering: application to small animals
corrupted ECG wavelet decomposition small animals
2010/2/26
The efficiency of the presented method has been tested on a group of quite representative signals containing: highly contaminated (mean SNR<-5 dB) simulated ECGs that replicate normal and pathological...