Using the proximal gradient and the accelerated proximal gradient as a canonical polyadic tensor decomposition algorithms in difficult situations

M Nazih, K Minaoui, P Comon - Signal Processing, 2020 - Elsevier
Canonical Polyadic (CP) tensor decomposition is useful in many real-world applications due
to its uniqueness, and the ease of interpretation of its factor matrices. This work addresses …

[HTML][HTML] Tensor-based approach for blind separation of Interleave-NOMA 5G system

A Rouijel, A Hadmi, H El Ghazi, Z Mohammadi - Scientific African, 2021 - Elsevier
Nowadays, wireless broadband communication has experienced tremendous growth. The
requirement for various new and advanced multiple access techniques is constantly …

Computation of low-rank tensor approximation under existence constraint via a forward-backward algorithm

M Nazih, K Minaoui, E Sobhani, P Comon - Signal Processing, 2021 - Elsevier
Abstract The Canonical Polyadic (CP) tensor decomposition has become an attractive
mathematical tool in several fields during the last ten years. This decomposition is very …

Performance evaluation of MB-OFDM UWB systems based on optimization algorithm for CP decomposition

Z Mohammadi, A Rouijel, R Saadane - … 2: Proceedings of the UNet'16 2, 2017 - Springer
In this paper, a Canonical Polyadic (CP) tensor decomposition for Ultra WideBand (UWB)
based MultiBand Orthogonal Frequency Division Multiplexing (MB-OFDM) systems is …

RETRACTED ARTICLE: Blind code estimation of multi-antenna direct-spread CDMA with long-code signal using decomposition technique

R Nirmaladevi, KK Rao - Soft Computing, 2022 - Springer
Aiming at the problem of blind estimation of the spreading code of multi-antenna Direct-
Spread CDMA Long-Code (DS-CDMA LC) signals with poor interpolation effect, the idea of …

Computation of the nonnegative canonical tensor decomposition with two accelerated proximal gradient algorithms

M Nazih, K Minaoui, E Sobhani, P Comon - Digital Signal Processing, 2022 - Elsevier
Multidimensional signal analysis has become an important part of many signal processing
problems. This type of analysis allows to take advantage of different diversities of a signal in …

Estimation of spreading sequences in LC-DS-CDMA signals based on sparse auto-encoder

F Qiang, Z Zhao, J Shang, L Shen - Evolutionary Intelligence, 2020 - Springer
A method based on a sparse auto-encoder (SAE) network for the estimation of spreading
sequences in long-code direct-sequence code-division multiple access (LC-DS-CDMA) …

Estimation of the Pseudo Noise Sequence for Multi-Antenna NPLC-DS-CDMA Signals Based on Tensor Decomposition and Polynomial Library Search

T ZHANG, S YU, T ZHANG, W GE - 电子与信息学报, 2020 - jeit.ac.cn
To deal with the problem of estimation of the pseudo noise sequence for Non-Periodic Long
Code Direct Sequence Code Division Multiple Access (NPLC-DS-CDMA) signals under low …

[PDF][PDF] Scientific African

A Rouijel, A Hadmi, H El Ghazi, Z Mohammadi - 2021 - researchgate.net
abstract Nowadays, wireless broadband communication has experienced tremendous
growth. The requirement for various new and advanced multiple access techniques is …

[PDF][PDF] 利用张量分解的多天线长码直扩 CDMA 信号扩频码盲估计

赵知劲, 尹辉, **芳芳, 尚俊娜 - Journal on Communication …, 2018 - infocomm-journal.com
针对插补法效果不佳的多天线长码直扩CDMA 信号扩频码盲估计问题, 采用分段思想,
将接收信号构建成的三阶张量按照扩频增益分块成等价于Tucker 分解模型的子张量 …