Add to ORKGThe two-dimensional least mean square ( 2 0 LMS) adaptive filters have been recently used in the image processing applications for reducing the noise. I n this paper, a new two-dimensional LM-S algorithm is proposed. For the special desires to the linear phase constraint during filtering the images, a n additional linear phase constraint is added to the existing 2 0 LMS algorithms. Com-pare with the conventional algorithms, the results show that the proposed algorithm is much more efficient both in computation time and memory s-t orag e. I
Abstract:- A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. The ap...
The focus of this work is to explore structures and algorithms for two-dimensional adaptive signal p...
We present an efficient and novel procedure to design two-dimensional (2D) linear-phase IIR filters ...
In this paper, several adaptive least mean squares (LMS) location-invariant filter (L-filter) modifi...
Two-dimensional (TD) adaptive filtering is a technique that can be applied to many image, and signal...
The Volterra filter is a nonlinear filter presented by the Volterra series expansion which is well k...
The LMS-based adaptive order-statistic filters are presented in thispaper. The adaptive Ll-filters a...
A technique for 2-D system identification which processes 2-D signals using two-dimensional blocks i...
In this paper, we consider the steady state Mean Square Er-ror (MSE) analysis for 2-D LMS algorithm ...
Abstract. The paper is devoted to the signal-dependent (SD) design of adaptive LMS L-filters with ma...
In this paper, one kind of adaptive LMS filters based on order statistics is used for two-dimensiona...
The conventional LMS family of adaptive algorithms fail to converge if translated to short-word-leng...
We present an efficient and novel procedure to design two-dimensional (2D) linear-phase IIR filters ...
In this paper, two new fast gradient algorithms which perform 2-D block adaptive filtering are prese...
The paper is devoted to the signal-dependent (SD) design of adaptiveLMS L-filters with marginal data...
Abstract:- A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. The ap...
The focus of this work is to explore structures and algorithms for two-dimensional adaptive signal p...
We present an efficient and novel procedure to design two-dimensional (2D) linear-phase IIR filters ...
In this paper, several adaptive least mean squares (LMS) location-invariant filter (L-filter) modifi...
Two-dimensional (TD) adaptive filtering is a technique that can be applied to many image, and signal...
The Volterra filter is a nonlinear filter presented by the Volterra series expansion which is well k...
The LMS-based adaptive order-statistic filters are presented in thispaper. The adaptive Ll-filters a...
A technique for 2-D system identification which processes 2-D signals using two-dimensional blocks i...
In this paper, we consider the steady state Mean Square Er-ror (MSE) analysis for 2-D LMS algorithm ...
Abstract. The paper is devoted to the signal-dependent (SD) design of adaptive LMS L-filters with ma...
In this paper, one kind of adaptive LMS filters based on order statistics is used for two-dimensiona...
The conventional LMS family of adaptive algorithms fail to converge if translated to short-word-leng...
We present an efficient and novel procedure to design two-dimensional (2D) linear-phase IIR filters ...
In this paper, two new fast gradient algorithms which perform 2-D block adaptive filtering are prese...
The paper is devoted to the signal-dependent (SD) design of adaptiveLMS L-filters with marginal data...
Abstract:- A novel approach for the least-mean-square (LMS) estimation algorithm is proposed. The ap...
The focus of this work is to explore structures and algorithms for two-dimensional adaptive signal p...
We present an efficient and novel procedure to design two-dimensional (2D) linear-phase IIR filters ...