Reducing Quantization Errors for Inner-Product Operations in Embedded Digital Signal Processing Systems [Tips & Tricks]

Zhuo Wang, Jintao Zhang, Naveen Verma

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Inner-product operations are used extensively in embedded digital signal processing (DSP) systems. Their applications range from signal processing (filtering/convolution) to inference (classification). In embedded systems, resources (energy, area, etc.) are typically highly constrained, making tradeoffs with computational precision a fundamental concern. Indeed, with increasing requirements on algorithmic performance, many systems are trending toward higher computational precision to ensure accuracy of results.

Original languageEnglish (US)
Article number7737100
Pages (from-to)141-147
Number of pages7
JournalIEEE Signal Processing Magazine
Volume33
Issue number6
DOIs
StatePublished - Nov 2016

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint Dive into the research topics of 'Reducing Quantization Errors for Inner-Product Operations in Embedded Digital Signal Processing Systems [Tips & Tricks]'. Together they form a unique fingerprint.

  • Cite this