随机级联IIR滤波器的评价

N. Onizawa, S. Koshita, S. Sakamoto, M. Kawamata, T. Hanyu
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引用次数: 1

摘要

随机级联IIR滤波器用于硬件上的面积高效复杂滤波器,如γ - one滤波器和γ - machirp滤波器,但级联形式在随机计算中的有效性尚未得到研究。为了评估随机级联IIR滤波器的性能,还设计了随机直接形式IIR滤波器作为基准滤波器。在MATLAB中对两种随机滤波器的性能进行了仿真,并与不同阶数和不同随机位长的浮点结果进行了比较。仿真结果表明,与直接形式相比,级联形式在随机IIR滤波器中减小了误差,并且在数字IIR滤波器中具有众所周知的级联形式的有效性。此外,还展示了随机IIR滤波器的一些有趣的特征,如振荡,并在光谱分析的基础上进行了讨论。
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Evaluation of Stochastic Cascaded IIR Filters
Stochastic cascaded IIR filters are used for area-efficient complicated filters in hardware, such as gammatone and gammachirp filters, but the effectiveness of the cascaded form has not been studied in stochastic computation. To evaluate the performance of the stochastic cascaded IIR filters, stochastic direct-form IIR filters are also designed as a baseline filter. The performance of both stochastic filters are simulated in MATLAB and compared with floating-point results in different orders and different stochastic bit lengths. The simulation results show that the cascaded form reduces errors in comparison with the direct form in stochastic IIR filters as well as the well-known effectiveness of the cascaded form in digital IIR filters. In addition, some interesting features of the stochastic IIR filters such as oscillations are exhibited, which are discussed based on spectral analysis.
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