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Study on symmetric extension methods in Mallat algorithm of finite length signal

机译:有限长度信号的Mallat算法对称扩展方法研究

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Boundary extension is necessary when processing the signal which is usually time-limited in applications. On the basis of analyzing Mallat algorithm, two kinds of boundary extension methods, point-symmetric extension (PSE) and edge-symmetric extension (ESE) commonly used in Mallat algorithm of finite length signal are studied. The general process of wavelet transform with two symmetric extension methods is derived in detail. The implementation of wavelet decomposition and perfect reconstruction are studied in-depth respectively, whatever the length of the signal or the length of the filter is odd or even. In addition, in order to achieve multi-level decomposition and reconstruction, binary indicator series is adopted. And this makes the wavelet transform easily implemented by programming. Examples given show that they preserve the perfect reconstruction while keeping the signal length unchanged.
机译:处理通常在应用中的信号有限的信号时需要边界扩展。在分析Mallat算法的基础上,研究了在有限长度信号的Mallat算法中常用的两种边界扩展方法,点对称扩展(PSE)和边缘对称扩展(ESE)。详细派生了具有两个对称扩展方法的小波变换的一般过程。除了信号的长度或滤波器的长度是奇数甚至是奇数甚至的滤波器的长度或偶数,分别研究了小波分解和完美重建的实现。另外,为了实现多级分解和重建,采用二元指示器系列。这使得小波变换通过编程轻松实现。示例给出给出它们保持完美的重建,同时保持信号长度不变。

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