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Improved segmented frequency domain block LMS adaptive filtering algorithm

A technology of adaptive filtering and adaptive filter, which is applied in the direction of digital adaptive filter, adaptive network, impedance network, etc., can solve the problems of non-optimal convergence of frequency domain LMS algorithm and non-convergence of mean square error, and achieve The effects of thorough noise elimination, high recognition, and accurate fitting and prediction results

Active Publication Date: 2019-11-22
NANJING UNIV
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Problems solved by technology

Studies have shown (J.Lu, X.Qiu and H.S.Zou, “Amodified frequency-domain block LMS algorithm with guaranteed optimal steady-state performance,” Signal Process.104,27-32(2014)), when the filter system When it is non-causal, the frequency-domain LMS algorithm faces the problem of non-optimal convergence, and the mean square error (MSE) of the normalized PFBLMS algorithm cannot converge to the Wiener solution

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  • Improved segmented frequency domain block LMS adaptive filtering algorithm
  • Improved segmented frequency domain block LMS adaptive filtering algorithm
  • Improved segmented frequency domain block LMS adaptive filtering algorithm

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[0018] The present invention improves the traditional normalized PFBLMS algorithm, and the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0019] Setting N is the adaptive filter length, L is the block length in the frequency domain, and the FFT calculation length in the frequency domain is 2L, N=P*L, and P is an integer representing the number of segments of each frame of data in the frequency domain, The normalized convergence step range is 0<μ<1.

[0020] 1. In the traditional normalized PFBLMS algorithm, the k-th frame data is divided into P data blocks. assuming x p (k)=[x((k–p)L–L),x((k–p)L–L+1),…,x((k–p)L+L–1)] T is the reference signal vector, p=(0,1,…,P–1). The superscript T stands for the transpose operation, w p (k)=[w (pL+0) (k),w (pL+1) (k),...,w (pL+L–1) (k)] T is an adaptive filter, d(k)=[d(kL), d(kL+1),…,d(kL+L-1)] T is the desired signal vector. Then the frequency domain e...

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Abstract

The invention discloses an improved segmented frequency domain block LMS adaptive filtering algorithm. The algorithm comprises the following specific steps: (1) setting parameters, (2) collecting a reference signal related to an external disturbance input signal, accumulating N+L=(P+1)L data as one frame each time, and dividing the data into P data blocks; (3) calculating the output of corresponding matching channels for all P data blocks of the kth frame; (4) updating an adaptive filter coefficient by adopting a frequency domain filtering minimum mean square algorithm; and (5) continuously iterating the data frame k to minimize the error signal. According to the improved segmented frequency domain block LMS adaptive filtering algorithm, the mean square error of a filter system can still converge to a Wiener solution under a non-causal condition.

Description

technical field [0001] The invention belongs to the technical field of adaptive signal processing, and in particular relates to an improved segmented frequency domain block LMS adaptive filtering algorithm. Background technique [0002] Adaptive algorithms are widely used in active noise control, echo cancellation and communication systems. The least mean square (LMS) algorithm is widely used in adaptive filtering because of its simplicity and good stability, but its computational complexity increases significantly as the length of the adaptive filter increases. [0003] In order to reduce the computation load of adaptive filtering, people usually use frequency-domain block least mean square (FBLMS) algorithm. Although the FBLMS algorithm has high computing efficiency, it has a large delay. Piecewise frequency-domain block-adaptive LMS (PFBLMS) algorithm is widely used in the field of audio processing because of its high computing efficiency and short delay. If the refere...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00H03H17/02
CPCH03H21/0043H03H21/0027H03H17/0213H03H17/0219H03H2021/0076H03H2021/0094Y02D30/70
Inventor 王军卢晶
Owner NANJING UNIV
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