| Summary: | 碩士 === 國立中央大學 === 資訊工程學系 === 101 === Now, blind source separation (BSS) is a very important research direction in various fields, For example, Biomedical Signal Progressing, brain science, multimedia signal processing, etc. And in audio domain, it is a good theme, too. In the paper, we design a BSS VLSI architecture which based on time-frequency masking. We fetch the feature for each time-frequency points and cluster them to get the separation signal. In the architecture, we add the sharing multiplication, and modify it to achieve more area- efficiency. On the other hand, when we use the algorithm to solve the problem, we must use a trained dictionary, and the training time is so long. To solve the question, we also design a VLSI architecture based on K-SVD algorithm. We use the architecture of orthogonal matching pursuit we designing to implement the K-SVD, and we also design an Acceleration & Lock Unit to decrease the power and the clock rate.
|
|---|
