Interpretation of resistivity data using 3D Euler deconvolution and Radially Averaged Power Spectrum

2020 ◽  
Vol 129 (1) ◽  
Author(s):  
Shovana Mondal ◽  
Shalivahan Srivastava ◽  
Ashok K Gupta
Keyword(s):  
Power Spectrum ◽  
Euler Deconvolution ◽  
Resistivity Data ◽  
3D Euler Deconvolution ◽  
Averaged Power Spectrum

Averaged power spectrum density, fractal and multifractal spectra of Au nano-particles deposited onto annealed TiO2 thin films

2020 ◽  
Vol 52 (11) ◽  
Author(s):  
Shahram Solaymani ◽  
Ram Pratap Yadav ◽  
Ştefan Ţălu ◽  
Amine Achour ◽  
Sahar Rezaee ◽  
...  
Keyword(s):  
Thin Films ◽  
Power Spectrum ◽  
Power Spectrum Density ◽  
Nano Particles ◽  
Tio2 Thin Films ◽  
Multifractal Spectra ◽  
Spectrum Density ◽  
Averaged Power Spectrum ◽  
Au Nano Particles

High-Efficiency Carrier Frequency Estimation Algorithm for Real-Time Multi-Domain Communication Signal Analysis

2014 ◽  
Vol 21 (2) ◽  
pp. 281-292
Author(s):  
Qian Wang ◽  
Xiaomei Yang ◽  
Xiao Yan ◽  
Kaiyu Qin
Keyword(s):  
Power Spectrum ◽  
Carrier Frequency ◽  
Signal Analysis ◽  
High Efficiency ◽  
Frequency Estimation ◽  
Estimation Algorithm ◽  
Communication Signal ◽  
Power Difference ◽  
Carrier Frequency Estimation ◽  
Averaged Power Spectrum

Abstract Based on real-time multi-domain communication signal analysis architecture, a high-efficiency blind carrier frequency estimation algorithm using the power spectrum symmetry of the measured modulated signal is presented. The proposed algorithm, which utilizes the moving averaged power spectrum achieved by the realtime spectrum analysis, iteratively identifies the carrier frequency in according to the power difference between the upper sideband and lower sideband, which is defined and revised by the estimated carrier frequency in each iteration. When the power difference of the two sidebands converges to the preset threshold, the carrier frequency can be obtained. For the modulation analysis, the measured signal can be coarsely compensated by the estimated result, and the residual carrier frequency error is eliminated by a following carrier synchronization loop. Compared with previous works, owing to the moving averaged power spectrum normalization and the smart iterative step variation mechanism for the two sidebands definition, the carrier frequency estimation accuracy and speed can be significantly improved without increasing the computational effort. Experimental results are included to demonstrate the outstanding performance of the proposed algorithm.

3D Euler deconvolution: Theoretical basis for automatically selecting good solutions

Geophysics ◽  
2003 ◽  
Vol 68 (6) ◽  
pp. 1962-1968 ◽  
Author(s):  
João B. C. Silva ◽  
Valéria C. F. Barbosa
Keyword(s):  
Magnetic Anomaly ◽  
Theoretical Basis ◽  
Source Location ◽  
The Other ◽  
Euler Deconvolution ◽  
Data Window ◽  
Other Hand ◽  
3D Euler Deconvolution ◽  
Structural Indices ◽  
Derivatives Of

We derive the analytical estimators for the horizontal and vertical source positions in 3D Euler deconvolution as a function of the x‐, y‐, and z‐derivatives of the magnetic anomaly within a data window. From these expressions we show that, in the case of noise‐corrupted data, the x‐, y‐, and z‐coordinate estimates computed at the anomaly borders are biased toward the respective horizontal coordinate of the data window center regardless of the true or presumed structural indices and regardless of the magnetization inclination and declination. On the other hand, in the central part of the anomaly, the x‐ and y‐coordinate estimates are very close to the respective source horizontal coordinates regardless of the true or presumed structural indices and regardless of the magnetization inclination and declination. This contrasting behavior of the horizontal coordinate estimates may be used to automatically delineate the region associated with the best solutions. Applying the Euler deconvolution operator inside this region would decrease the dispersion of all position estimates, improving source location precision.

scholarly journals Edge Detection and Depth to Magnetic Source Estimation in Part of Central Nigeria

2020 ◽  
pp. 54-67
Author(s):  
Mam D. Tawey ◽  
Abbass A. Adetona ◽  
Usman D. Alhassan ◽  
Abdulwaheed A. Rafiu ◽  
Kazeem A. Salako ◽  
...  
Keyword(s):  
Edge Detection ◽  
Trend Analysis ◽  
Source Parameter ◽  
Fault System ◽  
Euler Deconvolution ◽  
Structural Index ◽  
The South ◽  
Source Estimation ◽  
Magnetic Source ◽  
3D Euler Deconvolution

High-resolution aeromagnetic data covering an area of 24, 200 km2 in north central Nigeria has been acquired and analyzed with the aim of carrying out trend analysis, edge detection (structural delineation) and depth to magnetic source estimation using reduce to the pole (RTP), horizontal gradient magnitude (HGM), center for exploration targeting plug-in (CET), 3D Euler deconvolution and source parameter imaging (SPI) techniques. Trend analysis was applied to the RTP data to delineate structures that have dissected the area. The 3D Euler deconvolution and HGM were correlated by plotting the estimated Euler solutions for a structural index of one (SI=1) on HGM map and the resulting map produced have shown that both methods can contribute in the interpretation of the general structural framework of the study area. The structural delineation based on HGM and CET maps showed that two predominant trends (ENE-WSW) and (WNW-ENE) have affected the area. The trend/depth/contacts of these faults were classified into four groups: Faults <150 m, 150 m - 300 m, 300m - 450 m which are the most predominant fault system based on Euler solutions with a structural index of one (SI=1) and those deeper than 450 m while the result of source parameter imaging (SPI) revealed a depth to source varying from 58 m specifically for areas with shallow depth to the magnetic source to those from deeper source occurring at 588.153m depth especially the south-central portion and the south-eastern portion of the study area.

scholarly journals Damping Coefficient Induces Stochastic Multiresonance in Bistable System with Asymmetric Dichotomous Noise

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Juan Wu ◽  
Yong Xu
Keyword(s):  
Power Spectrum ◽  
Damping Coefficient ◽  
Bistable System ◽  
System Response ◽  
Asymmetric Distribution ◽  
Potential Wells ◽  
Dichotomous Noise ◽  
System Parameters ◽  
Asymmetric Dichotomous Noise ◽  
Averaged Power Spectrum

Stochastic resonance (SR) and stochastic multiresonance (SMR) phenomena as a function of the underdamping and overdamping coefficients in bistable system with asymmetric dichotomous noise are investigated numerically. By the efficient numerical simulation of the asymmetric dichotomous noise and the fourth-order Runge-Kutta algorithm, we calculate the system responses, the averaged power spectrum, and the signal-noise-ratio (SNR) that can be a measure of the existence of SR and SMR phenomenon. And the effects of damping coefficients on the three characteristics are analyzed. Firstly, it is found that the periodic asymmetric distribution of the particle’s hopping between two potential wells in the system response is gradually weakened as underdamping coefficient is increased to overdamping coefficient. And it also displays the periodic asymmetric distribution under the circumstance of overdamping coefficient. Then the averaged power spectrum exhibits multiple sharp peaks, and the highest peak increases and decreases for underdamping coefficient which is added to overdamping coefficient. Finally, SNR versus the damping coefficient for the system parameters and the noise parameters are acquired and they show multiple peaks and valleys, which illustrates the obvious SMR phenomena in bistable system with asymmetric dichotomous noise.

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