The Binormalized Data-Reusing LMS Algorithm
نویسندگان
چکیده
A new algorithm, the binormalized data-reusing least mean squares (LMS) algorithm is presented. The new algorithm has been found to converge faster than other LMS-like algorithms, such as the Normalized LMS algorithm and several data-reusing LMS algorithms, when the input signal is highly correlated. The computational complexity of this new algorithm is only slightly higher than a recently proposed normalized new data-reusing LMS algorithm.
منابع مشابه
Mean-squared Error Analysis of the Binormalized Data-reusing Lms Algorithm Using a Dlscrete-angular-distribution Model for the Input
plied successfully to the analysis of the normalized LMS (NLMS) Providing a quantitative mean-squared-error analysis of adaptation algorithms is of great importance for determining their usefulness and for comparison with other algorithms. However, when the algorithm reutilizes previous data, such analysis becomes very involved as the independence assumption cannot be used. In this paper, a tho...
متن کاملMean-squared error analysis of the binormalized data-reusing LMS algorithm using a discrete-angular-distribution model for the input signal
Providing a quantitative mean-squared-error analysis of adaptation algorithms is of great importance for determining their usefulness and for comparison with other algorithms. However, when the algorithm reutilizes previous data, such analysis becomes very involved as the independence assumption cannot be used. In this paper, a thorough mean-squared-error analysis of the binormalized data-reusi...
متن کاملA Family of Selective Partial Update Affine Projection Adaptive Filtering Algorithms
In this paper we present a general formalism for the establishment of the family of selective partial update affine projection algorithms (SPU-APA). The SPU-APA, the SPU regularized APA (SPU-R-APA), the SPU partial rank algorithm (SPU-PRA), the SPU binormalized data reusing least mean squares (SPU-BNDR-LMS), and the SPU normalized LMS with orthogonal correction factors (SPU-NLMS-OCF) algorithms...
متن کاملPerformance of Adaptation Algorithms in Multipath Channel Equalization
In this work, performance of several adaptation algorithms are investigated for the reception of CDMA signals. Two adaptive receiving frameworks are considered: the standard channel equalization with training sequence, and the fractionally-spaced equalization. Amongst the several widely known adaptation algorithms, we consider the LMS, the RLS, the binormalized data-reusing (BNDR), and the quas...
متن کاملA Family of Selective Partial Update Affine Projection Adaptive Filtering Algorithms
In this paper we present a general formalism for the establishment of the family of selective partial update affine projection algorithms (SPU-APA). The SPU-APA, the SPU regularized APA (SPU-R-APA), the SPU partial rank algorithm (SPU-PRA), the SPU binormalized data reusing least mean squares (SPU-BNDR-LMS), and the SPU normalized LMS with orthogonal correction factors (SPU-NLMS-OCF) algorithms...
متن کامل