Tensor-based signal processing methods are usually employed when dealing with multidimensional data and/or systems a large parameter space. In this paper, we present family of tensor-based adaptive filtering algorithms, which suitable for high-dimension system identification problems. The basic idea is to exploit decomposition-based approach, such that the global impulse response can be estimat...
