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	Optimum digital filter synthesis with arbitrary constraints and noise
	Wen Xiangyang ; Wei Yixiang ; Xiao Wuyun
	2010-05-06 ; 2010-05-06
关键词	Practical Theoretical or Mathematical/ FIR filters infrared spectroscopy optimisation signal denoising/ optimum digital filter synthesis arbitrary constraints arbitrary noise energy resolution digital spectroscopy finite impulse response filters constrained optimization signal-to-noise ratio/ B6140B Filtering methods in signal processing B0260 Optimisation techniques C5260 Digital signal processing C1180 Optimisation techniques C1260S Signal processing theory
中文摘要	The energy resolution of digital spectroscopy can be improved by finite impulse response (FIR) filters optimized for the presence of any kind of stationary noise. The designs were optimized using the constrained optimization technique with arbitrary time domains and frequency domain constraints (flat-top, baseline restorer, etc.). Synthesis results for a typical example were analyzed in both the time and frequency domains to investigate the maximum signal-to-noise ratio (SNR) for various constraints. The filter effectively removes baseline drift and ballistic deficit, while possibly achieving the maximum SNR. The results show that the method is suitable for high-speed, high-resolution digital spectroscopy, especially when the noise characteristics are unknown.
语种	中文 ; 中文
出版者	Tsinghua Univ. Press ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/11393]
专题	清华大学
推荐引用方式 GB/T 7714	Wen Xiangyang,Wei Yixiang,Xiao Wuyun. Optimum digital filter synthesis with arbitrary constraints and noise[J],2010, 2010.
APA	Wen Xiangyang,Wei Yixiang,&Xiao Wuyun.(2010).Optimum digital filter synthesis with arbitrary constraints and noise..
MLA	Wen Xiangyang,et al."Optimum digital filter synthesis with arbitrary constraints and noise".(2010).

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