However, in certain cases a dictionary that is trained fit the input data can significantly improve the sparsity, which has applications in data decomposition, compression and analysis and has been used in the fields of image denoising and classification, video and audio processing.
However, in certain cases the dictionary learned to fit the input data can significantly improve the sparsity and thus the results of signal processing. This method is applied to data decomposition, compression and analysis and has been used in the fields of image denoising and classification, video and audio processing.