Results 11 to 20 of about 753,691 (242)
, 2023 Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and ship supervision. Aiming at the problems of large parameters, large computation quantity, poor real-time performance, and high requirements for memory and ...
Xinyu Liu (34266) +7 more
core +1 more source
, 2023 Real-time and accurate detection of ships plays a vital role in ensuring navigation safety and ship supervision. Aiming at the problems of large parameters, large computation quantity, poor real-time performance, and high requirements for memory and ...
Xinyu Liu (34266) +7 more
core +1 more source
Performance evaluation of carrier interferometry implementations of MC-CDMA over a wideband channel suffering phase noise [PDF]
, 2005 In this paper the performance of Carrier Interferometry (CI) and Pseudo-Orthogonal Carrier Interferometry (PO-CI) [1] implementations of Multi-Carrier Code Division Multiple Access (MC-CDMA) are investigated.
Taylor, N +3 more
core +1 more source
Ant-Colony-Based Multiuser Detection for MC DS-CDMA Systems [PDF]
, 2007 In this contribution we present a novel ant colony optimization (ACO) based multi-user detector (MUD) designed for synchronous multi-carrier direct sequence code division multiple access (MC DSCDMA) systems. The operation of the ACO-based MUD is based on
Chong Xu +5 more
core +1 more source
mzeegers/MC-DART: MC-DART v1.0.1
, 2023 Minor release for Zenodo archiving Code for MC-DART: Multi-channel tomographic reconstruction with Multi-Channel DART For a full description, please visit https://github.com/mzeegers/MC ...
Mathé Zeegers +2 more
core +1 more source
Exact BER performance of asynchronous MC-DS-CDMA over Nakagami-m fading channels [PDF]
, 2008 In this contribution an accurate average bit error rate (BER) formula is derived for Nakagami-faded MC-DSCDMA in the context of asynchronous transmissions and random spreading sequences.
Smida, Besma +5 more
core +1 more source
, 2019 This is a reduced MC-4C dataset provided to be used as a test case for running MC-4C pipeline. The MC-4C pipeline can be freely downloaded from: https://github.com/aallahyar/mc4c_py Changes compared to original upload: - Changed name of fastq file from
Amin Allahyar (2620357)
core +1 more source