Optimal Weighted Periodic Nonuniform Sampling Sequences for Digital Alias-free Signal Processing

被引：0

作者：

Qu, Dongdong ^{[1
]}

Ma, Baoshan ^{[1
]}

Zhou, Jian ^{[1
]}

机构：

[1] Dalian Maritime Univ, Sch Informat Sci & Technol, Dalian, Peoples R China

来源：

2010 IEEE 10TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS (ICSP2010), VOLS I-III | 2010年

关键词：

aliasing; digital alias-free signal processing; spectrum estimation; nonuniform sampling; PNS; two-ADC WPNS;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：147 / 150

页数：4

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