【摘要】 对小波变换(多分辩率分析)用于柴油发动机辐射噪声分析.利用小波变换的"变焦"性能,并基于其多分辨率分析,以柴油发动机辐射噪声信号为对象,使用Daubechies小波及快速小波算法———Mallat算法对其进行塔式分解,然后进行各级小波波形结构特征提取,再结合经典谱估计的方法分析其线谱特征,进而提高线谱的分辨率,以获得更多的信息量,为柴油发动机降低噪声提供理论依据.分析表明,将小波变换应用于柴油发动机辐射噪声线谱分析具有重要的意义.更多还原

【Abstract】 This article discusses the application of wavelet theory to annlyze radiated noise of the diesel engine.Using the "focus" performance of wavelet, from the view of multiresolution analysis, based on Mallat pyramid algorithm, the multiresolution decomposition for the radiated noise signal of the diesel engine are achieved, with Daubechies type wavelets. A higher linear spectrum resolution accuracy and more information about the radiated noise of the diesel engine are obtained by combining classical PSD with wavelet to analyze the discrete approximate signal at each scale.Through experiment we find it is efficient and can obtained exact linear spectrum of radiated noise of the diesel engine based-on wavelet transform.更多还原