Blind PARAFAC receivers for DS-CDMA systems

By N. Sidiropoulos, Georgios B. Giannakis, Rasmus Bro. IEEE Transactions on Signal Processing, 2000

613 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/c7709875e6d71994d8c197df09b8945e6813b342

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

In Signal Processing

Citations in the corpus

Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects (2015, background): “astrophysics [59], biomedics [60], telecommunications [61], audio-vision [23], chemometrics [62], and more.”
On uniqueness conditions for Candecomp/Parafac and Indscal with full column rank in one mode (2009, neutral): “research; see Sidiropoulos, Giannakis and Bro [ 14 ] and Sidiropoulos, Bro and Giannakis [15].”
The Hitchhiker Guide to: Secant Varieties and Tensor Decomposition (2018, background): “As specific examples, we can quote the complexity of matrix multiplication [12], the P versus NP complexity problem [13], the study of entanglement in quantum physics [15, 14], matchgates in computer science [13], the study of phylogenetic invariants [16], independent component analysis [17], blind ”
Channel Estimation for RIS-Empowered Multi-User MISO Wireless Communications (2020, methodology): “The PARAFAC decomposition is a subset of multi-way analysis inspired from psychometrics and chemometrics, and has been widely adopted in analyzing high-dimensional data [46].”
New ALS Methods With Extrapolating Search Directions and Optimal Step Size for Complex-Valued Tensor Decompositions (2011, background): “get its applications in wireless communication [27], where they propose a blind CP-based receiver for instantaneous CDMA mixtures impinging on an antenna array.”
Decompositions of a Higher-Order Tensor in Block Terms - Part II: Definitions and Uniqueness (2008, methodology): “A concise proof that also applies to complex tensors was given in [49]; in this proof, the permutation lemma of [38] was used.”
Best Low Multilinear Rank Approximation of Higher-Order Tensors, Based on the Riemannian Trust-Region Scheme (2011, background): “Fields of application of higher-order tensors also include chemometrics [42], biomedical signal processing [31, 15, 16, 4], telecommunications [40, 41, 10], scientific computing [7, 6, 20, 35], and image processing [48].”
Non-intrusive low-rank separated approximation of high-dimensional stochastic models (2012, background): “Consequently, they have been extensively applied to several areas including image compression and classification [66, 30], telecommunication [68, 67, 48], neuroscience [54, 29, 6], chemometrics [14], and data mining [8, 9, 44, 42, 71, 35, 1, 7, 2, 43].”
MACH: Fast Randomized Tensor Decompositions (2009, background): “ormance than the aforementioned ideas. Tensor decompositions have found the last years many applications in different scientiﬁc disciplines. Indicatively, computer vision and signal processing (e.g., [51, 35, 43]), neuroscience (e.g., [5]), time series anomaly detection (e.g., [47]), psychometrics (”
Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems (2008, methodology): “Note that the COMFAC algorithm [4], [29], which is a fast implementation of trilinear ALS, also uses a low-rank approximation based on the Tucker3 model as a preprocessing step.”
Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis (2014, methodology): “In parallel, CPD was successfully adopted as a tool for sensor array processing and deterministic signal separation in wireless communication [17, 18].”
Generic and typical ranks of multi-way arrays (2009, methodology): “Besides Chemometrics, CP has found important applications in signal processing, especially in Independent Component Analysis [16] [17] and in multi-user access in wireless communications [18] [19] [20].”
Tensor decompositions, alternating least squares and other tales (2009, background): “Nevertheless, we subsequently show that this condition is not too much restrictive, since one can always run a prior dimensional reduction of the tensor to be decomposed with the help of a high-order singular value decomposition (HOSVD) truncation, which is a compression means that many users practi”
Parallel factor analysis in sensor array processing (2000, methodology): “In an earlier paper [29], we have linked PARAFAC to the DS-CDMA blind multiuser detection problem.”
Tensor Decompositions and Applications (2009, neutral): “Other applications in telecommunications include [198, 197, 59].”
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries (2012, methodology): “Signal Processing, IEEE Transactions on, 48(3):810 823, 2000.”