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The gamma-filter-a new class of adaptive IIR filters with restricted feedback

机译:伽马滤波器-反馈受限的新型自适应IIR滤波器

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Generalized feedforward filters, a class of adaptive filters that combines attractive properties of finite impulse response (FIR) filters with some of the power of infinite impulse response (IIR) filters, are described. A particular case, the gamma filter, generalizes Widrow's adaptive transversal filter (adaline) to an infinite impulse response filter. Yet, the stability condition for the gamma filter is trivial, and LMS adaptation is of the same computational complexity as the conventional transversal filter structure. Preliminary results indicate that the gamma filter is more efficient than the adaptive transversal filter. The authors extend the Wiener-Kopf equation to the gamma filter and develop some analysis tools.
机译:描述了广义前馈滤波器,它是将有限冲激响应(FIR)滤波器的吸引力与无限冲激响应(IIR)滤波器的某些功能相结合的一类自适应滤波器。伽玛滤波器是一种特殊情况,它将Widrow的自适应横向滤波器(自适应)推广为无限冲激响应滤波器。然而,伽马滤波器的稳定性条件是微不足道的,并且LMS自适应与传统的横向滤波器结构具有相同的计算复杂度。初步结果表明,伽马滤波器比自适应横向滤波器更有效。作者将Wiener-Kopf方程扩展到伽玛滤波器,并开发了一些分析工具。

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