[[abstract]]© 1995 Institute of Electrical and Electronics Engineers - The conventional delayed least-mean-square (LMS) algorithm converges more slowly than the LMS algorithm due to the delay introduced in coefficient adaptation. The authors derive a new delayed LMS algorithm, which is a realisation of the orthogonality principle, by minimising the a posteriori squared error. Computer simulations show that it does not suffer from the introduced delay and has comparable convergence performance to the LMS algorithm[[department]]電機工程學
Abstract—This paper presents a precise analysis of the crit-ical path of the least-mean-square (LMS)...
Existing systolic architectures for the LMS algorithm with delayed coefficient adaptation have large...
We show that the celebrated LMS (Least-Mean Squares) adaptive algorithm is H 1 optimal. The LMS alg...
Adaptive filters constitute an important part of signal processing. They are widely used in many app...
The least mean square (LMS) algorithmis one of the most well-known algorithms for mobile communicati...
Abstract:- A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. The ap...
A typical architecture of the LMS algorithm suffers from large on-chip area as numerous adders, mult...
[[abstract]]In this paper, a new adaptive constrained LMS time delay estimation (TDE) algorithm is d...
Adaptive filtering is a wide area of researcher in present decade in the field of communication. The...
This thesis is being archived as a Digitized Shelf Copy for campus access to current students and st...
The use of delayed coefficient adaptation in the least mean square (LMS) algorithm has enabled the d...
Shows that the NLMS (normalized least-mean-square) algorithm is a potentially faster converging algo...
Existing systolic architectures for DLMS adaptive filtering, delay the coefficient adaptation by (N-...
The least-mean-square-type (LMS-type) algorithms are known as simple and effective adaptation algori...
Due to its simplicity, the least mean square (LMS) algorithm is widely used in many signal processin...
Abstract—This paper presents a precise analysis of the crit-ical path of the least-mean-square (LMS)...
Existing systolic architectures for the LMS algorithm with delayed coefficient adaptation have large...
We show that the celebrated LMS (Least-Mean Squares) adaptive algorithm is H 1 optimal. The LMS alg...
Adaptive filters constitute an important part of signal processing. They are widely used in many app...
The least mean square (LMS) algorithmis one of the most well-known algorithms for mobile communicati...
Abstract:- A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. The ap...
A typical architecture of the LMS algorithm suffers from large on-chip area as numerous adders, mult...
[[abstract]]In this paper, a new adaptive constrained LMS time delay estimation (TDE) algorithm is d...
Adaptive filtering is a wide area of researcher in present decade in the field of communication. The...
This thesis is being archived as a Digitized Shelf Copy for campus access to current students and st...
The use of delayed coefficient adaptation in the least mean square (LMS) algorithm has enabled the d...
Shows that the NLMS (normalized least-mean-square) algorithm is a potentially faster converging algo...
Existing systolic architectures for DLMS adaptive filtering, delay the coefficient adaptation by (N-...
The least-mean-square-type (LMS-type) algorithms are known as simple and effective adaptation algori...
Due to its simplicity, the least mean square (LMS) algorithm is widely used in many signal processin...
Abstract—This paper presents a precise analysis of the crit-ical path of the least-mean-square (LMS)...
Existing systolic architectures for the LMS algorithm with delayed coefficient adaptation have large...
We show that the celebrated LMS (Least-Mean Squares) adaptive algorithm is H 1 optimal. The LMS alg...