Designing High-Performance Green Filters Using Downsampling Techniques

David Shiung, Wen Long Chin

研究成果: Conference contribution

摘要

Reduction of the power consumed by highperformance filters is the ultimate objective of all digital signal processing (DSP) practitioners. However, low power consumption and high-performance are often contradictory design goals. This paper uses a technique involves extending the applicability of the Noble identity in commuting downsamplers with 'sparse transfer functions,' which can be expressed as a function of ZM, where M = 2,3,4,.... More precisely, the transfer functions are relaxed so that they can be expressed as a function of Z1. This commuting relation, termed the generalized Noble identity (GNI), substantially reduces the power consumption of a filter. The GNI is applied to elaborately designed lowpass filters (LPFs) and achieves a favorable compromise between contradictory design goals.

原文English
主出版物標題Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728130385
DOIs
出版狀態Published - 2019 十二月
事件2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019 - Taipei, Taiwan
持續時間: 2019 十二月 32019 十二月 6

出版系列

名字Proceedings - 2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019

Conference

Conference2019 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2019
國家/地區Taiwan
城市Taipei
期間19-12-0319-12-06

All Science Journal Classification (ASJC) codes

  • 人工智慧
  • 電腦視覺和模式識別
  • 訊號處理
  • 電腦網路與通信

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