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This study proposes a practical method to optimize Modulated Wideband Converter (MWC) used in analog-to-digital conversion based on sparse Bernoulli algorithm. MWC is a multi-channel parallel architecture with Analog-to-Information Converter (AIC) to achieve sub-Nyquist sampling for the wideband multi-frequency signals. However, the dense Bernoulli measurement matrix in MWC will cause redundancy between...
In this paper, we propose a novel low-cost and hardware-efficient digital interpolation filter applied to stereo audio sigma-delta digital-to-analog converter. The paper presents a dual-channel multiplexing structure and utilizes memories to realize the first stage half-band filter in the interpolation filter for reaching the goal of saving chip area. The reorder technique is derived to synchronize...
In the practical application, Nyquist-Shannon sampling theorem has brought great challenges to high sampling rate, fast processing speed and hardware equipment. In the context, a new theory called Compressive Sensing (CS) has been proposed, which can break the restriction of the Nyquist theorem for sparse signal. The Analog-to-Information Converter(AIC) makes the CS theory into practical, which can...
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