Software and Codes

• OPIT: An effective sparse subspace tracking in high dimension: Github

• αFAPI: A fast algorithm for subspace tracking with data corruption using α-divergence: Github

• PETRELS-ADMM: A robust algorithm for subspace tracking from incomplete observations with outliers: Github

• ACP & ATD: Two fast adaptive algorithms for factorizing streaming tensors under CP and Tucker format: Github

• ROBOT: An effective algorithm for factorizing streaming tensors with sparse corruptions under the TT format: Github

• ATT: A scalable adaptive algorithm for streaming tensor-train decompositions with missing data: Github

• ROLCP: A fast randomized algorithm for streaming CP/PARAFAC decompositions: Github

• TT-FOA: An efficient adaptive method for streaming tensor-train decomposition: Github

• ROTDL: A robust method for online Tucker dictionary learning from multidimensional data streams: Github

• Tensor-based BSS: Two blind source separation using tensor analysis: Github

• RACNN: Residual Attention Convolutional Neural Network for Near-Field Channel Estimation in 6G Wireless Communications: Github