Autocalibrated Sampling Rate Conversion in the Frequency Domain

被引:1
作者
Zhao, Lifan [1 ]
Li, Xiumei [2 ]
Wang, Lu [3 ]
Bi, Guoan [4 ,5 ]
机构
[1] Nanyang Technol Univ, Singapore, Singapore
[2] Hangzhou Normal Univ, Sch Informat Sci & Engn, Hangzhou, Zhejiang, Peoples R China
[3] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian, Peoples R China
[4] Univ Surrey, Surrey, England
[5] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore
基金
中国国家自然科学基金;
关键词
ALGORITHM;
D O I
10.1109/MSP.2017.2671412
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
Frequency-domain sampling rate conversion (SRC) can be conveniently implemented by manipulating the discrete Fourier transform (DFT) of the input signal. This method has achieved the advantages of using less computation to obtain more accurate converted output. Conversion errors are mainly produced from the formulation process of the DFT of the output signal. This article presents a sparsity-based scheme to appropriately and automatically calibrate the conversion errors to make further improvement on the conversion accuracy at the cost of more computational complexity. The experimental results demonstrate that the proposed scheme can significantly decrease the meansquare errors (MSEs) and is particularly effective on minimizing the MSEs of phase spectrum. © 2017 IEEE.
引用
收藏
页码:101 / 106
页数:6
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