Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.

Said Ahmed-Zaid

dblp:158/8151 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Integrated circuit design · 30% Processor architecture and microarchitecture · 30% Electronic design automation · 30%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation › high-level synthesis › arithmetic-level optimization
bit-width optimization
0.212015
Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only) · FPGA 2015
Integrated circuit design
digital circuit design
0.212015
Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only) · FPGA 2015
Processor architecture and microarchitecture › computer arithmetic
fixed-point arithmetic
0.212015
Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only) · FPGA 2015

Methods — techniques the papers use, named apart from their topics

non-convex optimization · 0.2
YearPublicationVenuePosition
2015 Optimized Fixed-Point FPGA Implementation of SVPWM for a Two-Level Inverter (Abstract Only)
abstract
This paper presents an optimized fixed-point implementation of space-vector pulse-width modulation (SVPWM) for a two-level inverter. Bit-width fixed-point signals as well as circuit area are minimized by meeting the desired design accuracy. Most of the designs currently available are specified in floating-point precision to speed the process of simulating their functionality. However, area-optimized hardware implementation of these algorithms requires fixed-point precision. A generic function is used to formulate the precision required for each signal to get the proper accuracy. A non-convex optimization problem is solved for the number of required bit-widths for the signals. This solution has been simulated and implemented on FPGA to verify the resulting accuracy.
Danyal Mohammadi, Said Ahmed-Zaid, Nader Rafla 0001
FPGA2