Abstract
The purpose of this work is to show the advantages of implementing digital signal processing for high quality audio applications in custom floating-point. We consider the trade-offs dynamic range vs. precision (i.e., quantization) by comparing standard floating-point (namely, binary32) to custom floatingpoint. Moreover, by resorting to Tunable Floating-Point (TFP) hardware units, we can adjust the dynamic range and the precision in different parts of the algorithms to explore several alternatives. Results show that 16-bit floating-point formats can give a good compromise between quality and energy efficiency.
Original language | English |
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Title of host publication | Proceedings of 57th Annual Asilomar Conference on Signals, Systems, and Computers |
Publisher | IEEE |
Publication date | 2024 |
Pages | 1547-1551 |
ISBN (Print) | 979-8-3503-2575-1 |
ISBN (Electronic) | 979-8-3503-2574-4 |
DOIs | |
Publication status | Published - 2024 |
Event | 57th Annual Asilomar Conference on Signals, Systems, and Computers - Asilomar Hotel and Conference Grounds, Pacific Grov, United States Duration: 29 Oct 2023 → 1 Nov 2023 http://www.asilomarssc.org |
Conference
Conference | 57th Annual Asilomar Conference on Signals, Systems, and Computers |
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Location | Asilomar Hotel and Conference Grounds |
Country/Territory | United States |
City | Pacific Grov |
Period | 29/10/2023 → 01/11/2023 |
Internet address |