Toolkits for Real Time Digital Audio Signal Processing Teaching Laboratory

Kizito Nkurikiyeyezu, Faustin Ahishakiye, C. Nsengimana, E. Ntagwirumugara
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引用次数: 2

Abstract

This paper describes an audio digital signal-processing toolkit that the authors develop to supplement a lecture course on digital signal processing (DSP) taught at the department of Electrical and Electronics Engineering at the University of Rwanda. In engineering education, laboratory work is a very important component for a holistic learning experience. However, even though today there is an increasing availability of programmable DSP hardware that students can largely benefit from, many poorly endowed universities cannot afford a costly full-fledged DSP laboratory. To help remedy this problem, the authors have developed C#.NET toolkits, which can be used for real-time digital audio signal processing laboratory. These toolkits can be used with any managed languages, like Visual Basic, C#, F# and managed C++. They provide frequently used modules for digital audio processing such as filtering, equalization, spectrum analysis, audio playback, and sound effects. It is anticipated that by creating a flexible and reusable components, students will not only learn fundamentals of DSP but also get an insight into the practicability of what they have learned in the classroom.
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实时数字音频信号处理教学实验室工具包
本文描述了一个音频数字信号处理工具包,作者开发了它来补充卢旺达大学电气和电子工程系教授的数字信号处理(DSP)讲座课程。在工程教育中,实验室工作是整体学习经验的重要组成部分。然而,即使今天有越来越多的可编程DSP硬件的可用性,学生可以很大程度上受益,许多贫穷的大学无法负担一个昂贵的成熟的DSP实验室。为了解决这个问题,作者开发了c#。NET工具包,可用于实验室数字音频信号的实时处理。这些工具包可以用于任何托管语言,如Visual Basic、c#、f#和托管c++。它们为数字音频处理提供了常用的模块,如滤波、均衡、频谱分析、音频回放和声音效果。预计通过创建灵活和可重用的组件,学生不仅可以学习DSP的基础知识,还可以深入了解他们在课堂上学到的知识的实用性。
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