Improving Design Accuracy of a Finite Impulse Response Fractional Order Digital Differentiator Filter Using Quantum-inspired Evolutionary Algorithm-Reference-Cited by-同舟云学术

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Improving Design Accuracy of a Finite Impulse Response Fractional Order Digital Differentiator Filter Using Quantum-inspired Evolutionary Algorithm

Published:2024-01-18 Issue: Volume:26 Page:142-147
ISSN:
Container-title:2024 14th International Conference on Cloud Computing, Data Science & Engineering (Confluence)
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Author:

Siddiqui Lubna¹,Mani Ashish²,Singh Jaspal³

Affiliation:

1. Amity School of Engineering and Technology, Amity University,Noida,India

2. Amity Innovation and Design Centre, Amity University,Noida,India

3. Centre for Development of Advanced Computing,Chandigarh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463166/10463197/10463238.pdf?arnumber=10463238

Reference26 articles.

1. Cramming More Components Onto Integrated Circuits

2. IBM Unveils Worlds First 2 Nanometer Chip Technology, Opening a New Frontier for Semiconductors;Albany;IBM,2021

3. Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer

4. History-Guided Hill Exploration for Evolutionary Computation

5. A Fast Kriging-Assisted Evolutionary Algorithm Based on Incremental Learning

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fine-tuning digital FIR filters with gray wolf optimization for peak performance;Scientific Reports;2024-06-03

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