A Study on TSIUVC Approximate-Synthesis Method using Least Mean Square

Ear Recognition by using Least Mean Square Method

Biometrics is a proper way of identifying human beings based on certain physiological characteristics and behavioral characteristics. Some of the physiological characteristics are fingerprint, face, DNA and iris. Some of the useful behavioral traits are gait and voice. But ear biometrics has recently emerged as a new area in biometrics. A great possibility for use of human ears for identificati...

Performance Improvement in Amplitude Synthesis of Unequally Spaced Array Using Least Mean Square Method

In this paper, an efficient method to obtain the elements current distribution for a non uniformly spaced array is presented. For a given far field pattern, after sampling the array factor the proposed method uses the least mean square error technique to solve the system of equations rather than solving the previously published Legendre function method. It’s shown that the average side lob leve...

Least Mean Square Algorithm

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

Least Mean Square Algorithm

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

A Modified Least Mean Square Method Applied to Frequency Relaying