基于树莓派和Python的数字均衡器实验设计

传统的实时性数字音效处理系统主要基于DSP硬件平台进行开发,对于本科生而言开发难度和成本都较高,针对此问题,提出了基于树莓派和Python的数字均衡器综合实验设计方案。首先,提出了一种基于尖峰滤波器模型的均衡器方法;其次,从理论角度阐述了IIR数字滤波器形式的设计过程,并通过窗函数法转换为FIR数字滤波器;最后,借助树莓派数字音效处理系统,印证了实验方案的可行性和拓展性,提高了学生的理论应用能力和创新实践兴趣。

Experiment Design of Digital Equalizer Based on Raspberry Pi and Python

The traditional real-time digital audio processing system is mainly developed based on the DSP hardware platform, which is difficult and costly for undergraduates. To solve this problem, a comprehensive experimental design scheme for digital equalizer based on Raspberry Pi and Python is proposed. Firstly, an equalizer model based on the peak filter model is established; secondly, the design process of IIR digital filter is explained theoretically, and it is converted into an FIR digital filter by the window function method; finally, the equalizer model is tested by the Raspberry Pi digital audio processing system. The example confirmed the feasibility and expansibility of the experiment design, and improved students'' theoretical application ability and innovative practice interest.