[[abstract]]The QR decomposition recursive least-squares (QRD RLS) algorithm for mapping onto a systolic array for signal processing and communication applications is considered. Detailed analysis is presented to show that the rotation parameters of the RLS algorithm based on the Givens rotation method will eventually reach the quasi-steady-state if the forgetting factor λ is very close to 1. With this model, the dynamic range of each processing cell can be derived, and from this a proper wordlength can be chosen to ensure correct operation of the algorithm. The proposed solutions are simple and effective. Simulations have demonstrated that the wordlengths chosen by the proposed dynamic range work well. The stability of the QRD RLS algorith...
Recently developed recursive least squares schemes, where the square root of both the covariance and...
Least-squares (LS) estimations and spectral decomposition algorithms constitute the heart of modern ...
Summarization: The continuous use of adaptive algorithms is strongly dependent on their behavior in ...
The QRD RLS algorithm is generally recognized as having good numerical properties under finite-preci...
Abstract-The QRD IUS algorithm is generally recognized as having good numerical properties under a f...
In this paper, we propose a new algorithm-based fault-tolerant method derived from the inherent natu...
In this dissertation the basic techniques for designing more sophisticated adaptive array systems ar...
The main feature of the least-squares adaptive algorithms is their high convergence rate. Unfortunat...
This paper describes the outline of the systolic array recursive least-squares (RLS) processor that ...
This paper presents the outline of the systolic array recursive least-squares (RLS) processor protot...
The QRD RLS algorithm is one of the most promising RLS algorithms, due to its robust numerical stabi...
The QR-decomposition (QRD)-based recursive least-squares (RLS) methods have been shown to be useful ...
Adaptive filters have found applications in many signal processing problems. In some situations, lin...
A novel architecture for QR-decomposition-based (QRD) recursive least squares (RLS) is presented. It...
This thesis presents four contributions: first, it develops new techniques to extend the range of ap...
Recently developed recursive least squares schemes, where the square root of both the covariance and...
Least-squares (LS) estimations and spectral decomposition algorithms constitute the heart of modern ...
Summarization: The continuous use of adaptive algorithms is strongly dependent on their behavior in ...
The QRD RLS algorithm is generally recognized as having good numerical properties under finite-preci...
Abstract-The QRD IUS algorithm is generally recognized as having good numerical properties under a f...
In this paper, we propose a new algorithm-based fault-tolerant method derived from the inherent natu...
In this dissertation the basic techniques for designing more sophisticated adaptive array systems ar...
The main feature of the least-squares adaptive algorithms is their high convergence rate. Unfortunat...
This paper describes the outline of the systolic array recursive least-squares (RLS) processor that ...
This paper presents the outline of the systolic array recursive least-squares (RLS) processor protot...
The QRD RLS algorithm is one of the most promising RLS algorithms, due to its robust numerical stabi...
The QR-decomposition (QRD)-based recursive least-squares (RLS) methods have been shown to be useful ...
Adaptive filters have found applications in many signal processing problems. In some situations, lin...
A novel architecture for QR-decomposition-based (QRD) recursive least squares (RLS) is presented. It...
This thesis presents four contributions: first, it develops new techniques to extend the range of ap...
Recently developed recursive least squares schemes, where the square root of both the covariance and...
Least-squares (LS) estimations and spectral decomposition algorithms constitute the heart of modern ...
Summarization: The continuous use of adaptive algorithms is strongly dependent on their behavior in ...