IIR

作品数：434被引量：642H指数：10
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A 2nd-Order Noise Shaping SAR ADC Realizing NTF Zero-Pole Optimization Based on IIR-FIR Filter
《Chinese Journal of Electronics》2022年第1期33-39,共7页ZHANG Yanbo LIU Shubin LIANG Yuhua ZHU Zhangming 
supported by the National Key Research and Development Project of China(2018YFB2202400);the National Natural Science Foundation of China(U19A2053,61625403,61874174,62074119,62021004).
This paper reports a successive approx-imation register(SAR)analog-to-digital converters(ADCs)with the 2nd-order and optimized noise shaping(NS)scheme.Based on the feed-forward structure,both noise transfer function(N...
关键词：Analog-to-digital converters(ADCs) FEED-FORWARD Zero-pole optimization Noise shaping Oversampling ADC Successive approximation register 
A Sequential Partial Optimization Algorithm for Design of Near Linear-Phase IIR Digital Differentiators被引量：2
《Chinese Journal of Electronics》2019年第5期968-977,共10页MENG Hailong LAI Xiaoping YI Huoping 
supported by the National Nature Science Foundation of China(No.61573123,No.61333009)
The linear phase is a major characteristic of digital differentiators in many signal processing applications. This study presents a sequential partial optimization method for designing a fullband infinite impulse resp...
关键词：Digital DIFFERENTIATOR LINEAR phase SEQUENTIAL partial optimization Gauss-Newton strategy Mathematical PROGRAMMING 
Grey Wolf Optimizer with Ranking-Based Mutation Operator for IIR Model Identification被引量：4
《Chinese Journal of Electronics》2018年第5期1071-1079,共9页ZHANG Sen ZHOU Yongquan 
supported by the National Natural Science Foundation of China(No.61463007,No.61563008)
A variant of Grey wolf optimizer(GWO),called grey wolf optimizer with Ranking-based mutation operator(RGWO) is applied to the Infinite impulse response(IIR) system identification problem. RGWO makes GWO faster and mor...
关键词：System identification IIR system Grey wolf optimizer Ranking-based mutation operator 
NLFM Interference Suppressing Based on Time-Varying AR Modeling and Adaptive IIR Notch Filter被引量：1
《Chinese Journal of Electronics》2011年第4期676-680,共5页FENG Jining YANG Xiaobo DIAO Zhejun GONG Wenfei WU Siliang 
This work is supported by the Natural Science Foundation of Hebei Province （No.F2010000442）, Natural Science Foundation of Hebei Province （No.F2010000437）, National Natural Science Foundation of China （No.60974063）.
Uing TVAR （Time varying AR） model and adaptive notch filter is a new method for the non- stationary jammer suppression in DSSS （Direct sequence spread spectrum）. The performance of TVAR model for IF （Instantaneou...
关键词：Direct sequence spread spectrum （DSSS） receiver Time varing AR （TVAR） model IIR adaptive notch filter Anti-Jamming. 
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