Abstract
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.
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