Sampled Signal Analysis in the Fractional Fourier Transform Domain

被引：0
|
作者：
Jin, Xiao-Wei [1 ]
Lu, Ming-Feng [1 ]
Xie, Yan-An [1 ]
Yu, Zi-Xuan [1 ]
机构：
[1] Beijing Inst Technol, Dept Elect Engn, Beijing, Peoples R China
来源：
2016 URSI ASIA-PACIFIC RADIO SCIENCE CONFERENCE (URSI AP-RASC) | 2016年
关键词：
Sampling; fractional Fourier transform; SNR; ADC; BAND-LIMITED SIGNALS;
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：
Signal sampling is an important part of digital signal processing system. In the conventional sampling processing, the sampled signal is always analyzed in the Fourier transform (FT) domain. In this paper, we apply the fractional Fourier transform (FRFT) analysis into sampling processing. This study presents a quantitative signal-to-noise ratio (SNR) analysis of sampled data in the FRFT domain and introduces a new sampling method under sub-Nyquist rate based on FRFT. In contrast to the FT-based analysis method, we can achieve greater SNR and reduce the sampling rate of an Analog to Digital converter (ADC) in the FRFT domain.
引用
收藏
页码：1489 / 1492
页数：4
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