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Designing of Two- Channel Causal-stable IIR Filter Banks by Spectral Factorization

机译:光谱分组设计双通道因果稳定IIR滤波器银行

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A new method is proposed for designing of two-channel filter banks (FBs) with causal-stable IIR filters. By using IIR filters with a cosine-rolloff transition band, the flatness condition required for two-channel NPR FB is automatically satisfied. Instead of designing the frequency magnitude responses of the analysis filters, the power spectrums of the desired filters are designed by solving a quasi-convex problem. When the solution is found, the analysis filters desired can be obtained by spectral factorization. The polyphase components of the analysis filters are assumed to have an identical denominator to simplify the PR condition. Two-channel NPR IIR FB so obtained has a reasonably low reconstruction error and it can be employed as the initial guess to constrained nonlinear optimization software for designing the PR HR FB.
机译:建议使用因果稳定IIR滤波器设计双通道滤波器组(FBS)的新方法。通过使用具有余弦升降转换带的IIR滤波器,自动满足双通道NPR FB所需的平坦度条件。不是设计分析滤波器的频率幅度响应,所以通过解决准凸面问题设计所需滤波器的功率谱。当发现解决方案时,所需的分析过滤器可以通过光谱分分解获得。假设分析过滤器的多相组分具有相同的分母以简化PR条件。如此获得的双通道NPR IIR FB具有相当低的重建误差,并且可以用作对设计PR HR FB的约束非线性优化软件的初始猜测。

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