A typical architecture of the LMS algorithm suffers from large on-chip area as numerous adders, multipliers and delay registers are employed in its design. Due to the recursion, pipelining is not possible with LMS algorithm. Delayed LMS (DLMS) is an improvised form of LMS algorithm which allows pipelining of different tasks. An effective architecture of a novel partial product generator followed by an efficient adder is adopted here to implement a delayed LMS adaptive filter. This architecture helped in scaling down adaptation delay and on-chip area, which are the major drawbacks of conventional prototype. An error-computation block followed by a weight-update block is employed to obtain better performance. This new architecture was impleme...
This paper investigates the use of approximate fixed-width and static segment multipliers in the des...
Due to its simplicity, the least mean square (LMS) algorithm is widely used in many signal processin...
[[abstract]]© 1994 Institute of Electrical and Electronics Engineers - The delayed least-mean-square...
Abstract—In this paper, we present an efficient architecture for the implementation of delayed least...
The Least Mean Square Adaptive Filter is frequently encountered in wide variety of applications like...
Abstract: This paper presents the comparative performance of an adaptive FIR filter for a Delayed LM...
The use of delayed coefficient adaptation in the least mean square (LMS) algorithm has enabled the d...
The use of delayed coefficient adaptation in the least mean square (LMS) algorithm has enabled the d...
Abstract — This paper presents the modified delayed LMS adaptive filter consists of Weight update bl...
The aim of this paper is to impalement the adaptive digital Least Mean Square (LMS) and delayed-LMS ...
[[abstract]]© 1995 Institute of Electrical and Electronics Engineers - In this paper, we present a d...
Abstract—This paper presents a precise analysis of the crit-ical path of the least-mean-square (LMS)...
I n this paper, we first present a pipelined delayed least mean square (DLMS) adaptive filter archit...
This paper investigates the use of approximate fixed-width and static segment multipliers in the des...
This paper investigates the use of approximate fixed-width and static segment multipliers in the des...
This paper investigates the use of approximate fixed-width and static segment multipliers in the des...
Due to its simplicity, the least mean square (LMS) algorithm is widely used in many signal processin...
[[abstract]]© 1994 Institute of Electrical and Electronics Engineers - The delayed least-mean-square...
Abstract—In this paper, we present an efficient architecture for the implementation of delayed least...
The Least Mean Square Adaptive Filter is frequently encountered in wide variety of applications like...
Abstract: This paper presents the comparative performance of an adaptive FIR filter for a Delayed LM...
The use of delayed coefficient adaptation in the least mean square (LMS) algorithm has enabled the d...
The use of delayed coefficient adaptation in the least mean square (LMS) algorithm has enabled the d...
Abstract — This paper presents the modified delayed LMS adaptive filter consists of Weight update bl...
The aim of this paper is to impalement the adaptive digital Least Mean Square (LMS) and delayed-LMS ...
[[abstract]]© 1995 Institute of Electrical and Electronics Engineers - In this paper, we present a d...
Abstract—This paper presents a precise analysis of the crit-ical path of the least-mean-square (LMS)...
I n this paper, we first present a pipelined delayed least mean square (DLMS) adaptive filter archit...
This paper investigates the use of approximate fixed-width and static segment multipliers in the des...
This paper investigates the use of approximate fixed-width and static segment multipliers in the des...
This paper investigates the use of approximate fixed-width and static segment multipliers in the des...
Due to its simplicity, the least mean square (LMS) algorithm is widely used in many signal processin...
[[abstract]]© 1994 Institute of Electrical and Electronics Engineers - The delayed least-mean-square...