bibtype |
A -
Abstract
|
ARLID |
0571273 |
utime |
20240402213836.7 |
mtime |
20230502235959.9 |
title
(primary) (eng) |
Fast Bayesian Algorithms for FPGA Platforms |
keyword |
QRD RLS Lattice algorithms |
keyword |
FPGA |
keyword |
parallel implementation |
keyword |
HW accelerators |
author
(primary) |
ARLID |
cav_un_auth*0330517 |
name1 |
Likhonina |
name2 |
Raissa |
institution |
UTIA-B |
full_dept (cz) |
Zpracování signálů |
full_dept (eng) |
Department of Signal Processing |
department (cz) |
ZS |
department (eng) |
ZS |
country |
CZ |
garant |
K |
fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
source |
|
cas_special |
project |
project_id |
8A21009 |
agency |
GA MŠk |
ARLID |
cav_un_auth*0432581 |
|
project |
project_id |
101007321 |
agency |
ECSEL |
country |
XE |
ARLID |
cav_un_auth*0450343 |
|
abstract
(eng) |
The abstract describes application of the QRD RLS Lattice algorithm for hand detection based on ultrasound and implemenation of the algorithm on FPGA platform. It discusses the results of implementation in terms of algorithm acceleration, computational time and MFLOP/s. |
action |
name |
DATE'23 (Design, Automation and Test in Europe Conference) |
dates |
20230417 |
mrcbC20-s |
20230419 |
place |
Antwerp |
country |
BE |
url |
https://www.date-conference.com/ |
ARLID |
cav_un_auth*0449374 |
|
RIV |
JC |
FORD0 |
20000 |
FORD1 |
20200 |
FORD2 |
20205 |
reportyear |
2024 |
presentation_type |
PO |
inst_support |
RVO:67985556 |
permalink |
https://hdl.handle.net/11104/0342937 |
confidential |
S |
arlyear |
2023 |
mrcbU14 |
SCOPUS |
mrcbU24 |
PUBMED |
mrcbU34 |
WOS |
|