Abstract
Finding all roots of polynomials over finite fields is a crucial problem in algebraic coding techniques, such as decoding BCH codes and Reed-Solomon codes. The current commonly used methods are Chien search or fast Fourier transform (FFT), which evaluates all elements in a finite field and results in field multiplications whose number increases linearly with the field size. In this paper, we propose a new approach that enables the multiplicative complexity to grow sub-linearly with the field size. To our knowledge, this is the currently lowest multiplicative complexity for this problem. Additionally, the proposed approach maintains the additive complexity similar to that of FFT-based method. © 2023 IEEE.
| Original language | English |
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| Title of host publication | 2023 IEEE the 15th International Conference on Wireless Communications and Signal Processing (WCSP 2023) |
| Publisher | IEEE |
| Pages | 299-304 |
| ISBN (Electronic) | 9798350324662, 9798350324655 |
| ISBN (Print) | 9798350324679 |
| DOIs | |
| Publication status | Published - Nov 2023 |
| Event | 15th International Conference on Wireless Communications and Signal Processing (WCSP 2023) - Huabei Hotel, Hangzhou, China Duration: 2 Nov 2023 → 4 Nov 2023 http://www.ic-wcsp.org/2023/show.asp?id=21 |
Publication series
| Name | IEEE International Conference on Wireless Communications and Signal Processing, WCSP |
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Conference
| Conference | 15th International Conference on Wireless Communications and Signal Processing (WCSP 2023) |
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| Place | China |
| City | Hangzhou |
| Period | 2/11/23 → 4/11/23 |
| Internet address |
Research Keywords
- error-correction codes
- error-locator polynomial
- fast Fourier transforms (FFT)
- Polynomial evaluation