The conjugate gradient partitioned block frequency-domain for multichannel adaptive filtering

The conjugate gradient is the most popular optimization method for solving large systems of linear equations. In a system identification problem, for example, where very large impulse response is involved, it is necessary to apply a particular strategy which diminishes the delay, while improving the convergence time. In this paper we propose a new scheme which combines frequency-domain adaptive filtering with a conjugate gradient technique in order to solve a high order multichannel adaptive filter, while being delayless and guaranteeing a very short convergence time.

Project RAILS: Lessons Learned about Collaborative Rubric Assessment of Information Literacy Skills

Link to article on publisher site: https://www.press.jhu.edu/journals/portal_libraries_and_the_academy/portal_pre_print/articles/belanger.pdf