期刊名称：EURASIP Journal on Advances in Signal Processing
印刷版ISSN：1687-6172
电子版ISSN：1687-6180
出版年度：2019
卷号：2019
期号：1
页码：1-13
DOI：10.1186/s13634-019-0615-7
出版社：Hindawi Publishing Corporation
摘要：This paper presents novel models and design optimization methods for gapless deep waveform applications, where continuous streams of data must be processed reliably without dropping any samples. The approaches developed in this paper involve unified dataflow-based modeling of the interfaces and signal processing functionality of gapless deep waveform analysis. Bottleneck actors (computational modules) in the resulting dataflow model are then identified and tackled with approximate computing techniques. These techniques are developed and configured carefully so that large performance gains are achieved while keeping reductions in signal processing accuracy to a manageable level. Efficient actor- and graph-level code optimization techniques are also applied to further improve real-time performance. In addition to providing accurate, real-time processing on the experimental platform used in our experiments, the algorithm- and model-based formulation of the contributions in this part promotes their general utility in deep waveform analysis and their retargetability to other platforms.
关键词：Dataflow; Data acquisition; Graphics processing unit (GPU); Jitter measurement; Signal processing systems
