An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …

The widely-linear affine projection algorithm (WL-APA) based on the orthogonal affine
projection principle and the WL model utilizes the past multiple input signal vectors for …

To solve the estimation problem in three-dimensional space, the quaternion Kalman filter
(QKF) is developed for quaternion-valued signals using the well-known minimum mean …

Quaternion adaptive filters have been widely used in processing three-dimensional (-D) and-
D signals. However, the performance of existing quaternion adaptive filtering algorithms will …

Nowadays, complex Correntropy has been widely used for adaptive filtering in the complex
domain. Compared with the second order statistics methods, the complex correntropy based …

Electricity consumption forecasting (ECF) plays a crucial role in the new open electricity
market nowadays, and in order to pass the ECF test, the ECF error is required to be less …

As the most ecologically active cryptocurrency platform, Ethereum has attracted the attention
of many researchers. Leveraging its fully public transaction data, most existing analysis …

With the emergence of complex correntropy, the maximum complex correntropy criterion
(MCCC) has been applied to the complex-domain adaptive filtering. The MCCC uses the …

To utilize the full second-order statistical information of the complex-valued signal, a widely
linear complex-valued LMM (WL-CLMM) algorithm is proposed by using different M-estimate …

Correntropy is an efficient tool for analyzing higher order statistical moments in non-
Gaussian noise environments. Correntropy has been used with real, complex, and …