Due to its fast convergence rate, the recursive least-squares (RLS) algorithm is very popular in many applications of adaptive filtering, including system identification scenarios …
L Lu, Y Yu - Multidimensional Systems and Signal Processing, 2020 - Springer
In this paper, a novel bilinear algorithm is proposed for multiple-input–single-output (MISO) system identification, which is based on a modified L _p L p-norm cost function with …
In digital signal processing, a frequent task is to identify various kinds of systems, eg, to perform echo cancellation, adaptive delay estimation, noise cancellation, radar sensing, and …
Given the widespread use of miniaturized audio interfaces, echo control systems are faced with increasing challenges to address a large variety of acoustic conditions observed by …
The system identification problem is more challenging when the parameter space becomes large. This paper addresses the identification of bilinear systems based on the regularized …
M Chuai, KC Park - Journal of the Korea Institute of Information …, 2018 - koreascience.kr
The acoustic communication channel in shallow underwater is typically shown as time- varying multipath fading channel characteristics. The received signal through channel …