لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
سی و سومین کنفرانس بین المللی مهندسی برق
FPGA-Based Multiplier with a New Approximate Full Adder for Error-Resilient Applications
نویسندگان :
Ali Ranjbar
1
Elham Esmaeili
2
Shabnam Rafiei
3
Nabiollah Shiri
4
1- دانشگاه آزاد اسلامی واحد شیراز
2- دانشگاه آزاد اسلامی واحد شیراز
3- دانشگاه آزاد اسلامی واحد شیراز
4- دانشگاه آزاد اسلامی واحد شیراز
کلمات کلیدی :
approximate computing،approximate full adder،multiplier،mean filter
چکیده :
Electronic devices primarily aim to offer low power consumption, high speed, and a compact area. The performance of very large-scale integration (VLSI) devices is influenced by arithmetic operations, where multiplication is a crucial operation. Therefore, a high-speed multiplier is essential for developing any signal-processing module. Numerous multipliers have been reviewed in existing literature, and their speed is largely determined by how partial products (PPs) are accumulated. To enhance the speed of multiplication beyond current methods, an approximate adder-based multiplier is introduced. This approach allows for the simultaneous addition of PPs from two consecutive bits using a novel approximate adder. The proposed multiplier is utilized in a mean filter structure and implemented in ISE Design Suite 14.7 using VHDL and synthesized on the Xilinx Spartan3-XC3S400 FPGA board. Compared to the literature, the proposed multiplier achieves power and power-delay product (PDP) improvements of 56.09% and 73.02%, respectively. The validity of the expressed multiplier is demonstrated through the mean filter system. Results show that it achieves power savings of 33.33%. Additionally, the proposed multiplier provides more accurate results than other approximate multipliers by expressing higher values of peak signal-to-noise ratio (PSNR), (30.58%), and structural similarity index metric (SSIM), (22.22%), while power consumption is in a low range.
لیست مقالات
لیست مقالات بایگانی شده
STAR-RIS Secrecy Rate Analysis in the Presence of Energy Harvesting Eavesdroppers
Mohammad Reza Kavianinia - Mohammad Javad Emadi
Monte Carlo Analysis of Process Variations in Metal-Semiconductor-Metal Photodetectors for Nanophotonic Interconnects Application
Arash Qodratnama - Farshad Khunjush - Mohsen Raji
Study of DC Fault Current Components and Fast DC Fault Detection Approach in VSC-Based Multi-Terminal MTDC Networks
Mehdi Zebarjadi Zirak - Habib Panahi Boroujeni
Development of Iterative Learning Control Method for Trajectory Tracking in Two-Dimensional Discrete-Time Systems
Meysam Azhdari - Tahereh Binazadeh - Soheila Abedi
A new LDO regulator with adaptive PSR improvement under wide load current range and fast load transient response
Mohammad Ahmadi - Emad Ebrahimi
A Self-Supervised Deep Learning Framework for Alzheimer’s Disease Stage Classification Using Resting-State fMRI
Mohammad Ahmadabadi - Ali Sadr
طراحی یک جمع کننده تقریبی با دقت بالا و معیارهای سخت افزاری بهینه برای سیستمهای محاسباتی غیردقیق
شیوا محمدعلیپوری - وحید جمشیدی
اینورتر چندسطحی منبع ولتاژ جدید با هدف کاهش سوئیچ برای سطوح بالا
علی سیفی - سید حسین حسینی - مهرداد طرقدار حق - مهران صباحی - مجید حسین پور
Shielding factor enhancement method for Bi-stage active shield in SQUID-based Magnetocardiography system
Zeynab Alipour - Fatemeh Esmaili - Faezeh Shanehsazzadeh - Mehdi Fardmanesh
Enhanced Security in 5G-Enabled Edge-Based Smart Grids: Integrating Quantum-Resistant Cryptography with Privacy-Preserving Federated Adversarial Learning and Blockchain
Milad Amini
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2