Optimal Weighted Periodic Nonuniform Sampling Sequences for Digital Alias-free Signal Processing
Weighted Periodic Nonuniform Sampling (WPNS) for Digital Alias-free Signal Processing is redesigned for the signal processing tasks such as spectrum estimation. The work is a direct extension of the previous research on WPNS. The optimal Weighted Periodic Nonuniform Sampling with two Analogue to Digital Converters (ADC) is proposed to maximize the alias suppression in the context of Digital Alias-free Signal Processing. The proposed sampling scheme utilizes two ADCs working in parallel. We demonstrate that if such hardware is properly deployed one can construct sampling sequences with arbitrarily slow average sampling rates and also acceptable instantaneous sampling rates, and still accomplish the spectrum estimation.
aliasing digital alias-free signal processing spectrum estimation nonuniform sampling PNS two-ADC WPNS
Dongdong Qu Baoshan Ma Jian Zhou
School of Information Science and Technology, Dalian Maritime University, Dalian, China
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
147-150
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）