Mihail Petrov

A Scalable Resampling Architecture

This paper proposes a resampler architecture which employs the filtering the input signal with a FIR filter whose coefficients depend on the phase of the interpolated sample relative to the input samples. The novelty of this architecture consists in generating the coefficients by using linear interpolation between a number of predefined coefficient sets for equidistant sub-sample phases. The proposed architecture is particularly efficient for multi-channel interpolation, since all channels are resampled simultaneously and the coefficients generation block can be shared. Only the interpolation FIR filter needs to be replicated for each channel.

An Efficient Fractional-Rate Interpolation Architecture

The paper introduces a hardware-efficient interpolator architecture that is able to handle very large and fractional interpolation factors. Unlike most existing solution, the interpolation is performed in one step, which obviates the need for complicated multi-stage implementations. Besides the architecture itself, the paper also offers an analysis of the interpolation performance, using various interpolation functions.