Improving Calculation Accuracy of Digital Filters Based on Finite Field Algebra
| Autor: | Elena Doynikova, Alexander V. Veligosha, Pavel A. Lyakhov, Denis N. Butusov, Sergey Aryashev, Dmitry Kaplun |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
02 engineering and technology Quality (physics) residue module 0202 electrical engineering electronic engineering information engineering finite field algebra General Materials Science memory device conversion device Instrumentation Fluid Flow and Transfer Processes Structure (mathematical logic) Signal processing Process Chemistry and Technology General Engineering 020206 networking & telecommunications Computer Science Applications Algebra Task (computing) Finite field digital filter 020201 artificial intelligence & image processing Positional notation Digital filter Communication channel |
| Zdroj: | Applied Sciences Volume 10 Issue 1 |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app10010045 |
| Popis: | The applications of digital filters based on finite field algebra codes require their conjugation with positional computing structures. Here arises the task of algorithms and structures developed for converting the positional notation codes to finite field algebra codes. The paper proposes a method for codes conversion that possesses several advantages over existing methods. The possibilities and benefits of optimization of the computational channel structure for digital filter functioning based on the codes of finite field algebra are shown. The modified structure of computational channel is introduced. It differs from the traditional structure by the fact that there is no explicit code converter in it. The main principle is that the &ldquo reference&rdquo values of input samples, which are free from the error of the analog-digital converter, are used as input samples. The proposed approach allows achieving a higher quality of signal processing in advanced digital filters. |
| Databáze: | OpenAIRE |
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