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A New Variable Step-Size BLMS Algorithm Based on Discrete Wavelet Transforms

机译:基于离散小波变换的新型变步长BLMS算法

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The wavelet transforms domain LMS algorithm is integrated with variable step-size LMS algorithm and BLMS algorithm, from which a new wavelet transforms domain variable step-size BLMS adaptive algorithm is presented. The algorithm has advantages of the above three algorithms, it can reduce the cross-correlation of input signals effectively and can overcome the conflict between high convergence rate and low steady-stare maladjustment in LMS algorithm which leading by fixed step-size, it also has well real time performance. The computer simulation results indicate that the new algorithm has higher convergence rate and lower maladjustment noise, it can be applied effectively in the adaptive systems.
机译:将小波变换域LMS算法与变步长LMS算法和BLMS算法集成在一起,提出了一种新的小波变换域变步长BLMS自适应算法。该算法具有上述三种算法的优点,可以有效减少输入信号的互相关,可以克服以固定步长为主导的LMS算法中高收敛速度和低稳态恒星失调之间的矛盾。实时性良好。计算机仿真结果表明,该算法具有较高的收敛速度和较低的失调噪声,可以有效地应用于自适应系统中。

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