正弦信号的matlab代码-MCA:形态成分分析(DSP2)

上传者: 38733597 | 上传时间: 2021-06-23 12:04:44 | 文件大小: 1.22MB | 文件类型: ZIP
正弦信号的matlab代码关于MCA MCA代表形态成分分析。 它是一种强大的信号处理技术,可用于将信号分解成其分量,有助于更好地分析信号。 基本问题涉及将信号分解为来自不同来源的叠加贡献。 MCA假设每个基础组件在某个转换域中都具有稀疏表示。 还假定一个变换只能稀疏地表示一个分量,而在表示其他组件时效率很低。 一旦识别出这种变换,MCA是一种迭代阈值算法,能够将信号内容去耦。 当将所有变换合并为一个字典时,每个字典都必须导致它所服务的信号部分的稀疏表示,而在服务其他组件时效率很低。 为了使MCA高效工作,现有的来源必须具有一定的多样性水平,可以定量获取。 指示 有3种不同的实现: 音频混音 正弦和直流 正弦和不等式代码是用MATLAB编写的。 为了运行每个实现,请将MATLAB路径指向每个实现的目录,然后运行“ main.m”文件。 MCA的文献 有用文学的名单中所提供的Literature目录。

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