Unified Theory for Synthesis of Optimal Structures of Next-Generation Digital Filters Based on Stochastic Computation
| Project/Area Number |
15K06049
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Communication/Network engineering
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| Research Institution | Tohoku University |
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Principal Investigator |
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 電気電子工学 / 通信・ネットワーク工学 / 制御工学 / 信号処理 / ディジタルフィルタ / 演算精度 / 確率的演算 / 情報通信工学 |
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| Outline of Final Research Achievements |
This research project has established theoretical approaches on unified synthesis of filter structures that achieve higher arithmetic precision of stochastic computation-based next-generation digital filters than conventional methods. First, a unified synthesis method has been developed for stochastic FIR filters, where the method makes use of the deterministic and stochastic hybrid computation. Next, two synthesis methods have been developed for stochastic IIR filters to improve arithmetic precision. The proposed methods respectively make use of the scaled/cascaded structure and the state-space equation. Furthermore, hardware implementation using the proposed theory has been conducted and it has been demonstrated that the proposed method can attain at most 40dB improvement in filter characteristics.
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Report
(4 results)
Research Products
(38 results)
