Proportionate-type affine projection algorithms were devel-oped in the context of echo cancellation, as a generalization of the proportionate-type normalized least-mean-square algorithms. A matrix inversion is required within the affine projection algorithm (APA). In the case of proportionate-type APAs, the update of the matrix to be inverted is very computationally expensive. In this paper, an efficient update of this matrix is proposed and the procedure is applied for a recently developed proportionate-type APA. It is shown that the proposed algorithm achieves similar performance but significantly lowers numerical complexity as compared to known proportionate-type APAs. 1
In this paper we present a general formalism for the establishment of the family of selective regres...
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP\u2...
The normalized LMS (NLMS) algorithm has been successfully used in many system identification problem...
A new proportionate-type affine projection algorithm with intermittent update of the weight coeffici...
Abstract—In this paper, an intermittent update interval for filter coefficients and a simplified out...
Abstract—In this paper, two proportionate affine projection sign algorithms are introduced. The perf...
Abstract—A proportionate affine projection like (PAPL-I) adaptive filtering algorithm is proposed th...
Echo cancelers which cover longer impulse responses (greater than or equal to 64 ms) are desirable. ...
This paper presents several block exact affine projection algorithms (BEAPA) with a variable regular...
The affine projection algorithm (APA) and different versions of it have proved to be very attractive...
Proportionate affine projection sign algorithms for sparse system identification in impulsive interf...
Abstract—In this paper, a new proportionate affine projection sign algorithm using the -law proporti...
This research presents a development of the affine projection algorithm (APA) in voice communication...
© 2018 IEEE.Recently, proportionate adaptive filters are commonly used in the acoustic echo cancella...
This paper presents a regularized modification to the weighted variable step-size affine projection ...
In this paper we present a general formalism for the establishment of the family of selective regres...
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP\u2...
The normalized LMS (NLMS) algorithm has been successfully used in many system identification problem...
A new proportionate-type affine projection algorithm with intermittent update of the weight coeffici...
Abstract—In this paper, an intermittent update interval for filter coefficients and a simplified out...
Abstract—In this paper, two proportionate affine projection sign algorithms are introduced. The perf...
Abstract—A proportionate affine projection like (PAPL-I) adaptive filtering algorithm is proposed th...
Echo cancelers which cover longer impulse responses (greater than or equal to 64 ms) are desirable. ...
This paper presents several block exact affine projection algorithms (BEAPA) with a variable regular...
The affine projection algorithm (APA) and different versions of it have proved to be very attractive...
Proportionate affine projection sign algorithms for sparse system identification in impulsive interf...
Abstract—In this paper, a new proportionate affine projection sign algorithm using the -law proporti...
This research presents a development of the affine projection algorithm (APA) in voice communication...
© 2018 IEEE.Recently, proportionate adaptive filters are commonly used in the acoustic echo cancella...
This paper presents a regularized modification to the weighted variable step-size affine projection ...
In this paper we present a general formalism for the establishment of the family of selective regres...
This paper discusses a new adaptive filtering algorithm called fast affine projections (FAP). FAP\u2...
The normalized LMS (NLMS) algorithm has been successfully used in many system identification problem...