基于matlab的音乐信号处理在傅里叶变换教学中的应用
首发时间:2021-08-20
摘要:傅里叶变换是信号与系统这门课程的核心内容,是连接时域到频域的桥梁,学生在学习傅里叶变换部分的理论时,往往觉得比较抽象,没有形象、直观的认识。基于matlab的音乐信号处理,包括基于频率特征的钢琴音生成,基于谐波叠加的钢琴音合成,基于卷积的声音合成及滤波。将基于matlab的音乐信号处理贯穿于傅里叶变换的教学中,使学生对知识点有更直观的认识,激发学习兴趣,降低学习难度。同时培养学生的自主学习、独立思考、综合分析能力。
关键词: 信号与信息处理;傅里叶变换 信号与系统 音乐信号处理
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Music signal processing and its application in Fourier Transform teaching
Abstract:Fourier transform is the core content of signal and system. It is the bridge connecting time domain and frequency domain. When students study the theory of Fourier transform, they often feel that it is relatively abstract, can\'t have intuitive understanding. Music signal processing based on MATLAB, including piano sound generation based on frequency feature, piano sound synthesis based on harmonic superposition, sound synthesis and filter based on convolution. The music signal processing based on MATLAB is carried through teaching of Fourier transform. So that students can have a more intuitive understanding of theory knowledge, can stimulate learning interest, and can reduce the difficulty of learning. At the same time, It can cultivate students\' ability of independent learning, indepent thinking and comprehensive analysis.
Keywords: information and signal processing Fourier transform signal and system music signal processing
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基于matlab的音乐信号处理在傅里叶变换教学中的应用
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