In the field of signal processing,approximate computing techniques have garnered significant attention.Complex algorithms and massive data impose limitations on processing speed and increase system hardware consumption.Since signals often contain redundancy,precise results are not always necessary,and achieving results acceptable to users is sufficient.Therefore,employing approximate computing techniques can effectively reduce computational complexity,enhance computational efficiency,and improve system performance.This paper takes a hierarchical approach to the design of approximate computing techniques.It first introduces the characteristics of signal processing applications,reviews recent research progress in approximate computing techniques at the algorithm and circuit levels,and investigates approximate computing solutions in signal processing directions such as communication,video imaging,and radar.Finally,it discusses and prospects the development direction of this field,providing insights to promote the application of approximate computing techniques in signal processing.
关键词
近似计算/新兴计算范式/数字信号处理/研究进展
Key words
Approximate computing/Emerging computing paradigm/Digital signal processing/Research progress
维普
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