正弦信号的matlab代码-MCA:形态成分分析（DSP2）

## About MCA MCA stands for Morphological Component Analysis. It is a powerful signal processing technique used for decomposition of a signal into it's components which is useful for better analysis of the signal. The fundamental problem involves decomposing a signal into superposed contributions from different sources. MCA works on the assumption that each underlying component has a sparse representation in some transform domain. It is also assumed that a transform can only represent one component sparsely and is very inefficient in representing other com- ponents. Once such transforms are identified, MCA is an iterative thresholding algorithm that is capable of decoupling the signal content. When all transforms are amalgamated into one dictionary, each dictionary must lead to the sparse representation over the part of the signal it is serving, while being highly inefficient in serving other components. For MCA to work efficiently, the sources present must have a level of diversity which can be accessed quantitatively. ### Instructions - There are 3 different implementations: - Audio demixing - Sine and DC - Sine and impluses The code is written in MATLAB. For running each implementation, point the MATLAB path to the directory for each implementation and run the "main.m" file. ### Literature for MCA A list of useful Literature is provided in the `Literature` folder.