Total least squares parameter estimation is an alternative to least squares estimation though much less used in practice, partly due to the absence of eecient recursive algorithms or parallel architectures. Here it is shown how previously developed systolic algorithms/architectures for recursive least squares estimation can be used for recursive total least squares problems. Unconstrained as we...

Recursive least-squares (RLS) algorithms are widely used in many applications, such as real-time signal processing, control and communications. In some regularization of the provides robustness enhances performance. Interestingly, updating parameter processing data continuously time is a desirable strategy to improve performance applications beamforming. While presented works literature assume ...

Recursive least-squares adaptive decision-feedback equalizers (DFE) can be classified into the direct adaptation (DA) and channel-estimation-based adaptation (CEBA) approaches. CEBA provides better performance than DA when the channel length is known exactly. However, for wireless channels, the channel length is a random unknown quantity. In this paper, we evaluate the performance of the DA and...