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小波包变换能作为一种有效工具对信号特性进行精细分析 ,同时提供具有良好时频局部性的正交小波包基 .本文将Eykhoff脉冲响应辨识方法中的正交函数基取成正交小波基函数 ,提出了一种新的脉冲响应辨识方法 ,该方法不但保证了原来Eykhoff方法的有效性 ,而且实用性更好、实用范围更广 .仿真结果表明 ,所提出的脉冲响应辨识算法对于确定性过程和随机过程都具有很好的辨识结果 ,具有辨识精度高、克服噪声干扰能力和跟踪系统动态特性变化能力强的优点
Wavelet packet transform can be used as an effective tool to finely analyze signal characteristics and provide orthogonal wavelet packet basis with good time-frequency locality.In this paper, the orthogonal function basis in Eykhoff’s impulse response identification method is taken as orthogonal wavelet basis Function, a new impulse response identification method is proposed, which not only ensures the validity of the original Eykhoff method, but also has better practicability and wider practical range. The simulation results show that the proposed impulse response identification algorithm has certain advantages for deterministic Process and stochastic process have good recognition results, with the advantages of high recognition accuracy, ability to overcome noise and tracking ability of system dynamic changes