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.Sin financiaciónNo data (2009)UE
For adaptive filters with many taps, a short processing delay, and relative low computational comple...
The Complex Block Least Mean Square (LMS) algorithm has been widely used in various adaptive filteri...
The performance of the modified adaptive conjugate gradient (CG) algorithms based on the iterative C...
Multichannel acoustic cancellation problem requires working with extremely large impulse responses. ...
Multichannel acoustic cancellation problem requires working with extremely large impulse responses. ...
Modern advanced hardware technology has made possible the implementation of sophisticated algorithms...
Amodified form of the partial conjugate gradient algorithm is presented which uses a gradient aver-a...
Conjugate Gradient (CG) techniques arc suitable for resolution of time-variant system identification...
Multichannel acoustic cancellation problem requires work-ing with extremely large impulse responses....
This paper proposes a unified block based approach to generate two complex filtering algorithms. The...
This paper proposes a unified block based approach to generate two complex filtering algorithms. The...
An efficient adaptive digital filtering algorithm called complex block conjugate least mean square (...
An efficient adaptive digital filtering algorithm called complex block conjugate least mean square (...
Recently, an adaptive algorithm with desirable properties and useful applications, namely the Optimu...
The conjugate gradient method is a prominent technique for solving systems of linear equations and u...
For adaptive filters with many taps, a short processing delay, and relative low computational comple...
The Complex Block Least Mean Square (LMS) algorithm has been widely used in various adaptive filteri...
The performance of the modified adaptive conjugate gradient (CG) algorithms based on the iterative C...
Multichannel acoustic cancellation problem requires working with extremely large impulse responses. ...
Multichannel acoustic cancellation problem requires working with extremely large impulse responses. ...
Modern advanced hardware technology has made possible the implementation of sophisticated algorithms...
Amodified form of the partial conjugate gradient algorithm is presented which uses a gradient aver-a...
Conjugate Gradient (CG) techniques arc suitable for resolution of time-variant system identification...
Multichannel acoustic cancellation problem requires work-ing with extremely large impulse responses....
This paper proposes a unified block based approach to generate two complex filtering algorithms. The...
This paper proposes a unified block based approach to generate two complex filtering algorithms. The...
An efficient adaptive digital filtering algorithm called complex block conjugate least mean square (...
An efficient adaptive digital filtering algorithm called complex block conjugate least mean square (...
Recently, an adaptive algorithm with desirable properties and useful applications, namely the Optimu...
The conjugate gradient method is a prominent technique for solving systems of linear equations and u...
For adaptive filters with many taps, a short processing delay, and relative low computational comple...
The Complex Block Least Mean Square (LMS) algorithm has been widely used in various adaptive filteri...
The performance of the modified adaptive conjugate gradient (CG) algorithms based on the iterative C...