Single-shot speckle tracking method based on wavelet transform and multi-resolution analysis

2020 ◽  
Author(s):  
Zhi Qiao ◽  
Xianbo Shi ◽  
Lahsen Assoufid
Keyword(s):  
Wavelet Transform ◽  
Speckle Tracking ◽  
Single Shot ◽  
Tracking Method ◽  
Multi Resolution Analysis ◽  
Resolution Analysis

Coal Gangue Image Edge Detection Based on Wavelet Transform

2012 ◽  
Vol 214 ◽  
pp. 375-380 ◽  
Author(s):  
Tie Yun Li
Keyword(s):  
Wavelet Transform ◽  
Edge Detection ◽  
Detection Algorithm ◽  
Coal Gangue ◽  
Edge Detection Algorithm ◽  
Image Edge Detection ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Image Edge

An edge detection algorithm is developed for coal gangue images, and the method has two advantages compared with traditional ones. Firstly, multi-resolution analysis of wavelet transform can improve the quality of edge detection. Secondly, the algorithm is faster for real time. Since the threshold directly from the coefficients of wavelet transform, the rate of recognition for coal gangue is highly raised. The experiment results show that the method is an efficient edge detection algorithm for extraction edges from the noised images of coal gangues.

A New Approach for Classification of Fault in Transmission Line with Combination of Wavelet Multi Resolution Analysis and Neural Networks

2017 ◽  
Vol 8 (1) ◽  
pp. 505
Author(s):  
Y Srinivasa Rao ◽  
G. Ravi Kumar ◽  
G. Kesava Rao
Keyword(s):  
Neural Networks ◽  
Wavelet Transform ◽  
Transmission Line ◽  
Discrete Wavelet Transform ◽  
Discrete Wavelet ◽  
New Approach ◽  
The Neural Network ◽  
Multi Resolution Analysis ◽  
Resolution Analysis

An appropriate fault detection and classification of power system transmission line using discrete wavelet transform and artificial neural networks is performed in this paper. The analysis is carried out by applying discrete wavelet transform for obtained fault phase currents. The work represented in this paper are mainly concentrated on classification of fault and this classification is done based on the obtained energy values after applying discrete wavelet transform by taking this values as an input for the neural network. The proposed system and analysis is carried out in Matlab Simulink.

ECG Signal Denoising Algorithm Based on Optimization Wavelet Transform

2013 ◽  
Vol 706-708 ◽  
pp. 785-788
Author(s):  
Guo Shun Yuan ◽  
Li Qing Geng
Keyword(s):  
Wavelet Transform ◽  
Median Filter ◽  
Noise Removal ◽  
Signal Denoising ◽  
Time Frequency ◽  
Multi Resolution Analysis ◽  
Signal Characteristics ◽  
Eigen Values ◽  
Resolution Analysis ◽  
Ecg Noise Removal

Wavelet transform algorithm with its unique multi-resolution analysis and it is in the time - frequency domain has the advantage of the ability to characterize the local signal characteristics, let it has been widely used in signal detection, noise removal, feature extraction, image compression and so on. In this paper, on the basis of already wavelet transform ECG noise removal, proposed a median filter optimization algorithm, enables ECG noise removal effect is more obvious, also for the Eigen values detection of ECG lay a better foundation.

Wavelet analysis on developable surface base on area preserving projection

2015 ◽  
Vol 13 (01) ◽  
pp. 1550007 ◽  
Author(s):  
Bao Qin Wang ◽  
Gang Wang ◽  
Xiao Hui Zhou ◽  
Yu Su
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Scaling Function ◽  
Discrete Wavelet ◽  
Developable Surface ◽  
Simple Method ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Area Preserving ◽  
The Scaling Function

In this paper, a simple method is given in order to construct an area preserving mapping from a developable surface M to a plane. Based on the area preserving projection, we give some important formulas on M, and define a multi-resolution analysis on L2(M). We provide the conditions to further discuss the continuous wavelet transform and discrete wavelet transform on developable surface. At the same time, we derived two-scale equations that the scaling function and wavelet function on developable surface satisfied, we also define and discuss the orthogonality, and several important theorems are given. Finally, we construct the numerical examples. The focus of this paper is the area preserving mapping that from developable surface M to a plane, and the discrete wavelet transform on developable surface.

An Improved Image Segmentation Method Based Onmulti-Resolution Analysis and Watershed Transformation

2012 ◽  
Vol 500 ◽  
pp. 709-715
Author(s):  
Yan Wang ◽  
Yan Ma
Keyword(s):  
Image Segmentation ◽  
Wavelet Transform ◽  
Input Image ◽  
Segmentation Method ◽  
Watershed Segmentation ◽  
Watershed Transformation ◽  
Inverse Transform ◽  
Multi Resolution Analysis ◽  
Segmentation Accuracy ◽  
Resolution Analysis

This paper presents an improved image segmentation method based on multi-resolution analysis of wavelet transform and watershed transformation. In the marked-controlled watershed segmentation, we not only enhance the contours of low-resolution input image to acquire segmentation function image, but also use minima imposition technology to apply filters to input image to acquire marked function image. In order to improve segmentation accuracy, we use regional fusion and coarse-fine segmentation in wavelet inverse transform. The experimental results show that the proposed image segmentation method can efficiently reduce over-segmentation, as well as improve the effect of image segmentation. In addition, the proposed method is robust.

Periodicity and Trend Analysis of Precipitation in Multi-Time Scale in Plain Regions of Handan, China

2010 ◽  
Vol 29-32 ◽  
pp. 2739-2744
Author(s):  
Qing Hua Luan ◽  
Jian Yuan ◽  
Zhong Zhuang Ma ◽  
Xiao Bo Hao ◽  
Tai Bing Wu
Keyword(s):  
Complex System ◽  
Wavelet Transform ◽  
Water Resources ◽  
Human Activities ◽  
Integrated Management ◽  
Morlet Wavelet ◽  
Local Region ◽  
Multi Resolution Analysis ◽  
Resolution Analysis ◽  
Morlet Wavelet Transform

The periodicity and the trend which are the important properties of water resources become more and more variable and complex because of the influence of topography, vegetation and the human activities. Wavelet Analysis which has Multi-resolution Analysis function can provide more detail information of the nonlinear and complex system. The periodicity and the trend of precipitation in different plain regions of Handan are illuminated with Morlet Wavelet Transform in Multi-time scales in this study. It is illustrated that the same periods (5years and 9years) exist in the precipitation in different plain regions of Handan and there are the similar variety and the similar trend in the scale of 5years or 9years in different areas. This study would provide technical support for the integrated management and utilization of water resources of the local region.

Research and Analysis of ECG Signal Feature Detection Based on Multi-Resolution Analysis and Baselines Wander

2014 ◽  
Vol 926-930 ◽  
pp. 1827-1830
Author(s):  
Hui Yu Yang
Keyword(s):  
Wavelet Transform ◽  
Error Detection ◽  
High Frequency ◽  
Feature Detection ◽  
Frequency Noise ◽  
Ecg Signal ◽  
Area Method ◽  
Average Value ◽  
Multi Resolution Analysis ◽  
Resolution Analysis

Electrocardiosignal feature extraction is the base of electrocard iologic automatic diagnosis. By using wavelet transform multi-resolution analysis, the noise in electrocard iosignal is removed; and by using proximity signals of wavelet transform the base linew ander is filtered. The high frequency noise is handled and eliminated with the default threshold; and the average value of the electrocardiosignals is set to zero. In detection of rpeak, because leak detection will occur when only 23 detail signals is considered, thus the 23 and 24 detail signals are integrated to avoid miss detection effectively. The methods avoiding error detection bring excellent effects. For calculating average cardiac electric axis, among the methods of area method, time voltage method and amplitude method, the area method offers the highest accuracy.

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