In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive filter (SAF) system. The structure of this optimum solution deviates from the standard SAF approach and presents its best possible solution only as an approximation. Besides this new insight into SAF error sources, the discussed analysis allows to calculate the optimum subband responses and the standard SAF approximation. Examples demonstrating the validity of our analysis and its use for determining SAF errors are presented
Nonperfect filterbanks used for subband adaptive filtering (SAF) are known to impose limitations on ...
Master's thesis in Cybernetics and signal processingConventional subband adaptive filter (SAF) solve...
This paper introduces a polyphase implementation and design of an oversampled K-channel generalized ...
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive...
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive...
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive...
Based on a polyphase analysis of a subband adaptive filter (SAF) system, it is possible to calculate...
Subband adaptive filtering has attracted much attention lately. In this paper, we propose a new stru...
For a number of applications like acoustic echo cancellation, adaptive filters are required to ident...
Subband adaptive filtering has attracted much attention lately. In this paper, we propose a new stru...
In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achie...
In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achie...
We present a novel subband adaptive filtering (SAF) algorithm that selects a subset of subbands and ...
Non-perfect filter banks used for subband adaptive filtering (SAF) are known to impose limitations o...
This paper extends the adaptive normalized sub-band adaptive filtering (NSAF) by introducing variabl...
Nonperfect filterbanks used for subband adaptive filtering (SAF) are known to impose limitations on ...
Master's thesis in Cybernetics and signal processingConventional subband adaptive filter (SAF) solve...
This paper introduces a polyphase implementation and design of an oversampled K-channel generalized ...
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive...
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive...
In this paper, we derive a polyphase analysis to determine the optimum filters in a subband adaptive...
Based on a polyphase analysis of a subband adaptive filter (SAF) system, it is possible to calculate...
Subband adaptive filtering has attracted much attention lately. In this paper, we propose a new stru...
For a number of applications like acoustic echo cancellation, adaptive filters are required to ident...
Subband adaptive filtering has attracted much attention lately. In this paper, we propose a new stru...
In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achie...
In this paper, we evaluate the performance limitations of subband adaptive filters in terms of achie...
We present a novel subband adaptive filtering (SAF) algorithm that selects a subset of subbands and ...
Non-perfect filter banks used for subband adaptive filtering (SAF) are known to impose limitations o...
This paper extends the adaptive normalized sub-band adaptive filtering (NSAF) by introducing variabl...
Nonperfect filterbanks used for subband adaptive filtering (SAF) are known to impose limitations on ...
Master's thesis in Cybernetics and signal processingConventional subband adaptive filter (SAF) solve...
This paper introduces a polyphase implementation and design of an oversampled K-channel generalized ...