- 期刊
Application of Singular Value Decomposition Technique to System Identification by Doping an Optimum Signal
摻雜是佳化訊號之奇異值分解於系統識別之應用
並列摘要
This paper proposes a system identification methodology by using eigensystem realization algorithm (ERA) with a doping signal such that noise effect can be attenuated. The doping signal is obtained by integrating optimization technique with singular value decomposition (SVD) technique. Theoretical analysis is performed to interpret the necessity of using the optimum signal and to explain the relationship between SVD and optimum signal. Simulation results show that the proposed ERA with a novel optimum signal can achieve higher accurate results as compared to that without doping the optimum signal.
延伸閱讀
- Hsieh, H. I. (2007). 混模雜訊效應在離線式電源電磁干擾濾波器上之濾除機制及設計 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2007.03056
- Lo, C. C. (2013). 一個以元素為基底的疊代並適用於多輸入多輸出通訊的高精確度低複雜度奇異值分解處理器 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-1402201415092144
- Chiang, H. H. (2017). 運用第一原理計算與分子動態模擬探討摻雜元素對矽基負極材料的結構、動力學、熱力學、以及機械性質之影響 [doctoral dissertation, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU201700658
- Chiu, T. J. (2011). 雜訊可調變電晶體以應用於隨機仿神經積體電路運算 [doctoral dissertation, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-0805201213342819
- Chen, L. J. (2017). 運用交錯複數導頻分解於濾波器組多載波無線通訊系統之通道估測 [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-3004201814415118