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Information Journal Paper

Title

AUTOMATIC BOUNDING ESTIMATION IN MODIFIED NLMS ALGORITHM

Pages

  35-42

Abstract

 Modified Normalized Least Mean Square (MNLMS) algorithm, which is a sign form of NLMS based on set-membership (SM) theory in the class of optimal bounding ellipsoid (OBE) algorithms, requires a priori knowledge of error bounds that is unknown in most applications. In a special but popular case of measurement noise, a simple algorithm has been proposed. With some simulation examples the performance of algorithm is compared with MNLMS.

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  • Cite

    APA: Copy

    SHAH TALEBI, K., & DOUST HOSSEINI, A.M.. (2002). AUTOMATIC BOUNDING ESTIMATION IN MODIFIED NLMS ALGORITHM. INTERNATIONAL JOURNAL OF ENGINEERING, 15(1 (TRANSACTIONS A: BASICS)), 35-42. SID. https://sid.ir/paper/355450/en

    Vancouver: Copy

    SHAH TALEBI K., DOUST HOSSEINI A.M.. AUTOMATIC BOUNDING ESTIMATION IN MODIFIED NLMS ALGORITHM. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2002;15(1 (TRANSACTIONS A: BASICS)):35-42. Available from: https://sid.ir/paper/355450/en

    IEEE: Copy

    K. SHAH TALEBI, and A.M. DOUST HOSSEINI, “AUTOMATIC BOUNDING ESTIMATION IN MODIFIED NLMS ALGORITHM,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 15, no. 1 (TRANSACTIONS A: BASICS), pp. 35–42, 2002, [Online]. Available: https://sid.ir/paper/355450/en

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