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DoctorThe objective of this thesis is to develop new algorithm forimproving the convergence performance of the AP algorithm and to propose new structures for parallel AP filters
On methods to use a priori information in order to reduce complexity while maintaining convergence p...
Adaptive filtering can be used to characterize unknown systems in time-variant environments. The mai...
Includes bibliographical references (pages 72-74)In an effort to produce an efficient means of apply...
The performances of various adaptive filtering algorithms are evaluated based on their convergence ...
ABSTRACT: The Recursive Least Square (RLS) adaptive filter is the most popular and widely used adapt...
Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise...
This paper presents a new algorithm that can solve the problem of selecting appropriate update step ...
We present a low-complexity complementary pair affine projection (CP-AP) adaptive filter which emplo...
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from ...
The theory of structural sub-band decomposition of an FIR filters is extended to adaptive filters. I...
Abstract—In this paper, we consider the characteristics of the kernel adaptive filters for the mixtu...
Le propriétés de convergence d'un algorithme du gradient souple (VLMS) pour un critère de la valeur ...
It is shown that the commonly used adaptive algorithms are closely related to each other and can be ...
We present a new structure for parallel affine projection (AP) filters with different step-sizes. By...
Adaptive filtering has grown to become a fundamental topic in signal processing, increasingly attrac...
On methods to use a priori information in order to reduce complexity while maintaining convergence p...
Adaptive filtering can be used to characterize unknown systems in time-variant environments. The mai...
Includes bibliographical references (pages 72-74)In an effort to produce an efficient means of apply...
The performances of various adaptive filtering algorithms are evaluated based on their convergence ...
ABSTRACT: The Recursive Least Square (RLS) adaptive filter is the most popular and widely used adapt...
Adaptive filters are at the core of many signal processing applications, ranging from acoustic noise...
This paper presents a new algorithm that can solve the problem of selecting appropriate update step ...
We present a low-complexity complementary pair affine projection (CP-AP) adaptive filter which emplo...
A unified linear algebraic approach to adaptive signal processing (ASP) is presented. Starting from ...
The theory of structural sub-band decomposition of an FIR filters is extended to adaptive filters. I...
Abstract—In this paper, we consider the characteristics of the kernel adaptive filters for the mixtu...
Le propriétés de convergence d'un algorithme du gradient souple (VLMS) pour un critère de la valeur ...
It is shown that the commonly used adaptive algorithms are closely related to each other and can be ...
We present a new structure for parallel affine projection (AP) filters with different step-sizes. By...
Adaptive filtering has grown to become a fundamental topic in signal processing, increasingly attrac...
On methods to use a priori information in order to reduce complexity while maintaining convergence p...
Adaptive filtering can be used to characterize unknown systems in time-variant environments. The mai...
Includes bibliographical references (pages 72-74)In an effort to produce an efficient means of apply...
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