A Study on TSIUVC Approximate-Synthesis Method using Least Mean Square
نویسندگان
چکیده
منابع مشابه
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...
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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...
متن کاملLeast 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...
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ژورنال
عنوان ژورنال: The KIPS Transactions:PartB
سال: 2002
ISSN: 1598-284X
DOI: 10.3745/kipstb.2002.9b.2.223