Deblending based on the frequency-structure weighted threshold: The case of the slope-constrained f-k transform

Geophysics ◽  
2021 ◽  
pp. 1-76
Author(s):  
Siyuan Chen ◽  
Siyuan Cao ◽  
Yaoguang Sun
Keyword(s):  
High Frequency ◽  
Primary Source ◽  
Performance Model ◽  
Secondary Source ◽  
L1 Norm ◽  
Frequency Information ◽  
Frequency Structure ◽  
Global Threshold ◽  
Sparse Inversion ◽  
Blended Data

In the process of separating blended data, conventional methods based on sparse inversion assume that the primary source is coherent and the secondary source is randomized. The L1-norm, the commonly used regularization term, uses a global threshold to process the sparse spectrum in the transform domain; however, when the threshold is relatively high, more high-frequency information from the primary source will be lost. For this reason, we analyze the generation principle of blended data based on the convolution theory and then conclude that the blended data is only randomly distributed in the spatial domain. Taking the slope-constrained frequency-wavenumber ( f- k) transform as an example, we propose a frequency-dependent threshold, which reduces the high-frequency loss during the deblending process. Then we propose to use a structure weighted threshold in which the energy from the primary source is concentrated along the wavenumber direction. The combination of frequency and structure-weighted thresholds effectively improves the deblending performance. Model and field data show that the proposed frequency-structure weighted threshold has better frequency preservation than the global threshold. The weighted threshold can better retain the high-frequency information of the primary source, and the similarity between other frequency-band data and the unblended data has been improved.

Research on Improvement Algorithm of Image Edge Detection

2014 ◽  
Vol 539 ◽  
pp. 141-145
Author(s):  
Shui Li Zhang
Keyword(s):  
Cognitive Psychology ◽  
Edge Detection ◽  
High Frequency ◽  
Detection Method ◽  
Low Frequency ◽  
Frequency Information ◽  
Image Edge Detection ◽  
Improvement Algorithm ◽  
Image Edge ◽  
Edge Detection Method

This paper presents new theorems Stevens edge detection method based on cognitive psychology on. Firstly, based on the number of the image is decomposed into high-frequency and low-frequency information, and the high-frequency information extracted by subtracting the maximum number of images to the image after the filter, then the amount of high frequency information into psychological cognitive psychology based on Stevenss theorem. The algorithm suppression refined edge after the non-minimum, applications Pillar K-means algorithm to extract image edge. Experimental results show that: the brightness of the image is converted to the amount of psychological edge can better unify under different brightness values.

Comb Shaped Triple Band Microstrip Antenna for Wireless Communication

2021 ◽  
Vol 9 (4) ◽  
pp. 379-382
Keyword(s):  
Dielectric Constant ◽  
Wireless Communication ◽  
High Frequency ◽  
Microstrip Antenna ◽  
Return Loss ◽  
Experimental Results ◽  
High Frequency Structure Simulator ◽  
Frequency Structure ◽  
Triple Band

A comb shaped microstrip antenna is designed by loading rectangular slots on the patch of the antenna. The antenna resonating at three different frequencies f1 = 5.35 GHz, f2 = 6.19 GHz and f3= 8.15 GHz. The designed antenna is simulated on High Frequency Structure Simulator software [HFSS] and the antenna is fabricated using substrate glass epoxy with dielectric constant 4.4 having dimension of 8x4x0.16 cms. The antenna shows good return loss, bandwidth and VSWR. Experimental results are observed using Vector Analyzer MS2037C/2.

Separation of seismic blended data by sparse inversion over dictionary learning

2014 ◽  
Vol 106 ◽  
pp. 146-153 ◽  
Author(s):  
Yanhui Zhou ◽  
Wenchao Chen ◽  
Jinghuai Gao
Keyword(s):  
Dictionary Learning ◽  
Sparse Inversion ◽  
Blended Data

Corruption and control from the perspective of Islam

2020 ◽  
Vol 27 (2) ◽  
pp. 355-368
Author(s):  
Waled Younes E. Alazzabi ◽  
Hasri Mustafa ◽  
Ahmed Razman Abdul Latiff
Keyword(s):  
Primary Source ◽  
Point Of View ◽  
Self Control ◽  
Business Community ◽  
Influential Factor ◽  
Situational Factor ◽  
Secondary Source ◽  
Research Approach ◽  
Content Type ◽  
And Control

Purpose The purpose of this paper is to explore and provide insights into corruption and the control procedures from an Islamic perspective. Design/methodology/approach This paper adopts qualitative research approach using the holy Quran as a primary source and hadith of the Prophet Mohammed supported by the anecdotes of his companions as a secondary source and prior literature. Findings This paper offers an Islamic taxonomy of corruption that contains economic, managerial, financial, political, environmental, social and ethical corruption which is explicitly prohibited because of their consequence on societies. Islam establishes proactive, preventive, detecting and reactive procedures to control corruption and prescribes how to avoid its harmful consequences. The paper also reveals significant concepts in relation to individuals’ qualities that if taken care of, better chances to reduce corruption and better living conditions can be accomplished. Research limitations/implications The paper recommends means to the business community through providing managerial and practical procedures which can be used for limiting corruption effectively. However, this piece of work provides further explanations on corruption to improve our understanding on such a phenomenon and contributes to the literature from the perspective of Islam point of view. Originality/value The paper contributes to the debate on corruption, human, religion and control from an Islamic point of view, which is lacking. This paper finds evidence that loss of belief is a situational factor that leads to corrupt acts. Also, moral teaching in early ages is necessary for inner and self-control. Moral renovation is an influential factor that keeps individuals motivated and refrain from indulging into corrupt acts.

scholarly journals The Pursuit of the Source, or The Inevitability of Death

2020 ◽  
Author(s):  
Mats Persson ◽  
Jan Ch. Karlsson
Keyword(s):  
Discourse Analysis ◽  
Resistance To Change ◽  
Primary Source ◽  
Secondary Source ◽  
Management Research ◽  
Critical Realist ◽  
Dying Patients ◽  
False Idea

The purpose of this article is to apply the method of the genre of studying chains of references to an instance of a secondary source of the contested concept of ‘resistance to change’ back to the primary source and thereby exercise criticism of the sources. This includes discussing whether the theory itself is empirically sustainable or sufficiently scientifically grounded. In the article, we adopt a theoretical lens of Critical Realist Discourse Analysis, mainly because it is sensitive to the importance of the influence of nondiscursive social positions on discourses. The primary source of the chain of theories of resistance to change turns out to be Kübler-Ross’s model of stages of dying patients’ reactions to their immanent death. We find that the model is systematically misinterpreted to fit the empirically false idea of resistance to change of the ideological discourses of management research.

scholarly journals KONSEP PENDIDIK DAN METODE PEMBELAJARAN YANG HUMANIS MENURUT IBNU KHALDUN

2020 ◽  
Vol 6 (1) ◽  
pp. 97-114
Author(s):  
Kiki Sumber Rejeki
Keyword(s):  
Primary Source ◽  
Secondary Source ◽  
Human Being ◽  
Learning Methods ◽  
Ibn Khaldun ◽  
Qualitative Descriptive ◽  
Methods Of Learning

This study aims to find out and analyze the concept of educators and humanist learning methods according to Ibn Khaldun in his book entitled "Muqaddimah". The concept of educators and methods of learning in question is the behavior of educators in providing teaching to learners. The meaning of humanist according to Ibn Khaldun is a teaching that contains elements of humanity according to his nature as a human being. The approach used in this research is qualitative descriptive by reviewing the book of Muqaddimah with publisher of Maktabah Al-Hidayah as primary source and translation book of Muqaddimah with publisher Pustaka Al-Kautsar as secondary source and other supporting book. This research produces some educational concepts and learning methods that are humanist according to Ibn Khaldun.

scholarly journals Modeling and Control of Fuel Cell/Supercapacitor Hybrid Source Based on Energetic Macroscopic Representation

2021 ◽  
Vol 297 ◽  
pp. 01049
Author(s):  
Mohamed Haidoury ◽  
Hatim Jbari ◽  
Mohammed Rachidi
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Primary Source ◽  
Proton Exchange ◽  
Secondary Source ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Modeling And Control ◽  
Control Approach ◽  
Dynamic Simulator

In this paper, we present a dynamic simulator that uses a proton exchange membrane fuel cell (PEMFC). This source, is used as a primary source with a supercapacitor (SC) considered as a secondary source. This simulator integrates a PEMFC’s dynamic model, validated on the Bahia bench and a semi-empirical model of SC. The developed model is implemented using the macroscopic energetic representation tool (EMR). The energy management system (EMS) is based on rule-based power management, where a low-pass filter splits the power among sources (PEMFC and SCs) using a cut-off frequency of 0.2Hz, and a controller block that regulates the bus voltage deduced by the EMR’s inversion-based control approach.

scholarly journals Image Super Resolution Reconstruction Based on Improved Invertible Rescaling Net

2021 ◽  
Author(s):  
Taiping Mo ◽  
Dehong Chen
Keyword(s):  
Feature Extraction ◽  
High Frequency ◽  
Interpolation Method ◽  
Super Resolution ◽  
Frequency Information ◽  
Ill Posed ◽  
Image Edge ◽  
Image Super Resolution ◽  
Improved Model ◽  
Image Details

Abstract The Invertible Rescaling Net (IRN) is modeling image downscaling and upscaling as a unified task to alleviate the ill-posed problem in the super-resolution task. However, the ability of potential variables of the model embedded high-frequency information is general, which affects the performance of the reconstructed image. In order to improve the ability of embedding high-frequency information and further reduce the complexity of the model, the potential variables and feature extraction of key components of IRN are improved. Attention mechanism and dilated convolution are used to improve the feature extraction block, reduce the parameters of feature extraction block, and allocate more attention to the image details. The high frequency sub-band interpolation method of wavelet domain is used to improve the potential variables, process and save the image edge, and enhance the ability of embedding high frequency information. Experimental results show that compared with IRN model, improved model has less complexity and excellent performance.

Sign in / Sign up

Export Citation Format

Share Document