0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Noniterative Solution of Inverse Scattering Problems Using A Priori Information
نویسندگان :
Leila Ahmadi
1
Amir Ahmad Shishegar
2
1- دانشگاه صنعتی شریف
2- دانشگاه صنعتی شریف
کلمات کلیدی :
a priori microwave imaging, inverse scattering, noniterative image reconstruction.
چکیده :
Noniterative algorithms for solving inverse scattering problems are of great interest for their computational efficiency. Although their application is limited, they can enable fast and robust reconstructions possible. However, the resulting image has low accuracy. It is usually fed to an iterative algorithm as an initial guess to get the exact result. Increasing the accuracy of the noniterative algorithm output can improve this initial guess for faster convergence. It can even obviate the need for iteration in some cases. In this work, we incorporate spatial a priori information in the noniterative solution of inverse scattering problems. It is incorporated in modifying the regularization term. The results show that it can remarkably improve the accuracy of the reconstructed permittivity.
لیست مقالات
لیست مقالات بایگانی شده
Low VHF Wire Antenna with Low-cost and Wideband Properties
Mahdieh Bozorgi - Mahmood Rafaei-booket - Sina Hasibi-Taheri
یک روش موازی برای تخمین حالت سریع در سیستم های قدرت با ابعاد بزرگ با استفاده از تکنیک جداسازی گراف
بهنام کریم سرمدی - احمد صالحی دوبخشری
A Combined Channel Approach for Decoding Intracranial EEG Signals: Enhancing Accuracy through Spatial Information Integration
Maryam Ostadsharif Memar - Navid Ziaei - Behzad Nazari
Low-power and Low-Phase Noise Gm-Boosted Differential CMOS LC Voltage Controlled Oscillator using Genetic Algorithm
Mohammad Jafar Hemmati - Sepehr Ebrahimi Mood
Technical and Economic Analysis of Voltage Sags Mitigation Methods
Sina Shakeri - Javad Khajouei - Saeid Esmaeili
True Class-E Design For Inductive Coupling Wireless Power Transfer Applications
Ali Asghar Razavi Haeri - Aminghasem Safarian - Ali Fotowat-Ahmady
Binomial Distribution based K-means for Graph Partitioning Approach in Partially Reconfigurable Computing system
Zahra Asgari - Maryam Sadat Mastoori
P300 Evoked Related Potential Detection Based on Integration of Modified HOG and Convolutional Neural Networks
Pedram Havaei - Elham Mahmoudzadeh - Maryam Zekri
Exploring Graph Biomarkers and Connectivity in Epilepsy Through Graph Learning
Ali Khosravipour - Sepideh Hajipour Sardouie
کاربرد داده کاوی در بخش مشترکین صنعت توزیع برق
سارا علی پور - محمودرضا حقی فام
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
